Cs 194

CS 194-26 Project 5. Facial Keypoint Detection with Neural Networks. In this project, we use PyTorch and convolutional neural networks to predict facial keypoints after training on a set of input images and points. For each part, we use the DataLoader to read and transform each input image and its points. We then build our own networks to ...

John Wawrzynek. Aug 23 2023 - Dec 08 2023. F. 9:00 am - 11:59 am. Hearst Mining 310. Class #: 33399. Units: 3. Instruction Mode: In-Person Instruction. Offered through Electrical Engineering and Computer Sciences.Course Catalog and Schedule of Classes: http://schedule.berkeley.edu/ Berkeley bSpace course WEB portals: http://bspace.berkeley.edu/ [search bSpace] List of all EECS ...Overview. In the early 1900s, Sergei Mikhailovich Prokudin-Gorskii photographed scenes using red, green, and blue glass filters, with the intent of them being projected and combined to create color images in “multimedia” classrooms all across Russia.CIS 194: Introduction to Haskell (Spring 2013) Mondays 1:30-3 Towne 309. Class Piazza site. Instructor: Brent Yorgey. Email: byorgey at cis; Office: Levine 513; Office hours: Friday 2-4pm; TAs: Adi Dahiya (office hours: Thursdays 1-3pm, Moore 100) Zach Wasserman (office hours: Thursdays 12-1pm, Moore 100) Course DescriptionCS 194-26: Intro to Computer Vision and Computational Photography, Fall 2021 Project 2: Fun with Filters and Frequencies! Eric Zhu. Overview. In this project, I created edge detectors with a derivative of gaussian filter, and created hybrid and blended pictures by using different frequencies to mesh the pictures better. ...Katherine Song (cs-194-26-acj) Overview. In this project, we apply what we learned in class about manual keypoint selection, Delaunay triangulation, and affine transforms to warp faces to shapes of other faces (or population means), morph one face into another face (shape and color), and create caricatures by extrapolating from a population ...

Image Morphing - University of California, BerkeleyPart 4: Blend the Images into a Mosaic. Overview: all of the previous steps have been leading to this most challenging part. For all panoramas I shot three images and calculated the homographies of the right and the left images into the plane of the center (middle) image. Before warping images I added an alpha channel to each one in order to do ...CS-194 quantity. Add to Quote. SKU: b910a3620255 Category: Coaxial Circulator (CS) We are committed to providing excellent service to our customers throughout the world.CS 194-26 Project 2: Fun with Filters and Frequencies Name: Suhn Hyoung Kim. Project Overview In this project, we used derivative of gaussian filters and finite difference operators to perform edge detection in one part. In the next part, we used the gaussian filters to generate sharpened images and hybrid images.CS 194-26 Fall 2021 Bhuvan Basireddy and Vikranth Srivatsa. Augmented Reality Setup We recorded multiple videos and choose the one that performed the best. We noticed that slower the movement the better the results were.CS 194-26 Fall 2021 Bhuvan Basireddy. Detecting Corner Features For detecting the corner features, we used a Harris Interest Point Detector that we were given. I had to change the radius for peak_local_max to get the local maximums in a 3x3 neighborhood as in the paper. I used a threshold, if needed, to reduce runtime.

Introduction to Parallel Programming. Instructor: Kathy Yelick (send email), Office Hours Fridays 3-4 pm on zoom (sign up here) TAs: Alok Tripathy ( send email ), Office Hours M, Th 1-2pm PT in Soda 569. Alex Reinking ( send email ), Office Hours F 11am-12pm PT on zoom. Lectures: M-W 2-3:00pm in 306 Soda (will also be webcast on zoom and recorded)Leonardo da Vinci is most famous for his multi-layer painting technique which he applied in the painting Mona Lisa. This part will demystify the secret why it seems like she's only smiling at some certain angles by filtering out the low and high frequencies at different levels. Gaussian Stack, level = 0. Gaussian Stack, level = 1.Undergraduate Catalog 2024–2025 ›. Courses A - Z ›. CS - Computer Science. CS - Computer Science. For a computer science course to be used as a prerequisite, it must have been passed with a C- or better. Courses numbered 100 to 299 = lower-division; 300 to 499 = upper-division; 500 to 799 = undergraduate/graduate. CS 211.CS 194: Software Project Design, specification, coding, and testing of a significant team programming project under faculty supervision. Documentation includes a detailed … CS 194: Software Project Design, specification, coding, and testing of a significant team programming project under faculty supervision. Documentation includes capture of project rationale, design and discussion of key performance indicators, a weekly progress log and a software architecture diagram. CS 194-26 Project 1 Alice Tarng Overview. From 1907 to 1915, a man named Sergei Mikhailovich Prokudin-Gorskii traveled around the Russian Empire, taking thousands of photographs of the scenes he saw. Though this was before the era of color photography, Prokudin-Gorskii believed strongly in its potential. He recorded 3 different exposures of ...

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CS 194-10, Fall 2011 Assignment 2 Solutions. CS 194-10, Fall 2011 Assignment 2 Solutions. 1. (8 pts) In this question we briefly review the expressiveness of kernels. (a) Construct a support vector machine that computes the XOR function. Use values of +1 and -1 (instead of 1 and 0) for both inputs and outputs, so that an example looks like ...CS194_2960. CS 194-138. Cyberwar. Catalog Description: Topics will vary semester to semester. See the Computer Science Division announcements. Units: 1.0-4.0. Prerequisites: Consent of instructor. Formats: Fall: 1.0-4.0 hours of lecture per week Spring: 1.0-4.0 hours of lecture per week Summer: 2.0-8.0 hours of lecture per week. Grading basis ...Spring 2022. Advanced methods for designing, prototyping, and evaluating user interfaces to computing applications. Novel interface technology, advanced interface design methods, and prototyping tools. Substantial, quarter-long course project that will be presented in a public presentation. Prerequisites: CS 147, or permission of instructor.UnityEditor.BuildPlayerWindow+BuildMethodException: 6 errors at UnityEditor.BuildPlayerWindow+DefaultBuildMethods.BuildPlayer (UnityEditor.BuildPlayerOptions options) [0x00242] in C:\buildslave\unity\build\Editor\Mono\BuildPlayerWindowBuildMethods.cs:194 at UnityEditor.BuildPlayerWindow.CallBuildMethods (System.Boolean askForBuildLocation ...CS 194-26: Intro to Computer Vision and Computational Photography, Fall 2021 Project 3: Face Morphing Eric Zhu. Overview. In this project, I morphed faces into each other by matching up the shape of the face through key points and then averaging the color from each original image together. We used triangulation of the key points to find the ...Part 1: Depth Refocusing. One of the key features of a lightfield camera is being able to choose its depth of field. Using lightfield data from mutliple images at different angles, each image has a different lighting and shift the scene. With shifts in each shot, items close to the camera may appear blurrier across each image.

CS 194-26 Project 4. Joshua Chen Part A: Image Warping and Mosaicing Recover Homographies. In order to align two images, we need corresponding points in both images, similar to Project 3. However, unlike Project 3, we do not triangulate the image and morph the triangles.at UnityEditor.BuildPlayerWindow+DefaultBuildMethods.BuildPlayer (BuildPlayerOptions options) [0x0021f] in C:\buildslave\unity\build\Editor\Mono\BuildPlayerWindowBuildMethods.cs:187 at UnityEditor.BuildPlayerWindow.CallBuildMethods (Boolean askForBuildLocation, BuildOptions defaultBuildOptions) [0x0007f] in C:\buildslave\unity\build\Editor\Mono ...CS 194-10, Fall 2011: Introduction to Machine Learning Lecture slides, notes. Slides and notes may only be available for a subset of lectures. The lecture itself is the best source of information. Week 1 (8/25 only): Slides for Machine Learning: An Overview ( ppt, pdf (2 per page), pdf (6 per page) ) Week 2 (8/30, 9/1):In this project we undertake a journey to explore (and play) with image frequencies. We will implement the Gaussian filter and use it as our foundation for more advanced applications such as edge detection, sharpening, and image blending. Real applications of these concepts can be found in photo processing applications such as Photoshop, and in ...FEATURE MATCHING for AUTOSTITCHING (second part of a larger project) . The goal of this project is to create a system for automatically stitching images into a mosaic.COMPSCI 194-26: Final Project Kaijie Xu [email protected] Project 1: Neural Art Style Transfer. The first project is the reimplementation of the paper on a neural algorithm to transfer artistic styles. In this project I'll generate an image which takes the style from an art work and takes the content from an image.CS 194-26 Project 3: Face Morphing Ashley Chang. Part 1. Defining Correspondences. First we start with defining pairs of corresponding points on the two images: Next, we compute the Delaunay triangulation on the midway shape (i.e. mean of the two point sets): Part 2. Computing the "Mid-way Face"COURSE DESCRIPTION: The aim of this advanced undergraduate course is to introduce students to computing with visual data (images and video).CS 194-26 Project #4: Face Morphing Yue Zheng. Overview. In this project, we explore the techniques of face morphing. A morph is a simultaneous warp of the image ... CS 194: Distributed Systems Security Scott Shenker and Ion Stoica Computer Science Division Department of Electrical Engineering and Computer Sciences University of California, Berkeley Berkeley, CA 94720-1776 2 Attacks Interception (eavesdropping): unauthorized party gains access to service or data Interruption (denial of service attack ... Facial Keypoint Detection with Neural Networks. George Gikas. Part 1: Nose Tip Detection. For the first part, I implemented nose tip detection by creating a neural net with 4 convolutional layers ranging from 12-32 output channels followed by two fully connected layers that produced two values, the x and y coordinates of the nose tip.

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Stanford HCI GroupSep 16, 2023 ... CS194-26-计算摄影学共计27条视频，包括：1-Introduction_2023916122227、2-CapturingLight_2023916124916、3-camera_202391613646等，UP主更多精彩 ...CS€FORM€No.€100€(Revised€September€2016)€.€€This€Form€is€NOT€for€sale.€€Reproduction€is€allowed. APPLICATION€NO.€_____ ID PHOTO (see Specifications at the back) To€be€filled-out€by€Applicant Examination€Applied€For€:€ Pen€and€Paper€Test€(PPT)The H matrix has 9 values, in which h3,3 is set to 1, so there are 8 unknowns. This leaves us with needing at least 8 equations to solve for the homography matrix.194th Combat Sustainment Support Battalion, 46th Composite Truck Company conducted a change of command ceremony June 22, 2020 on Camp Casey. The outgoing Capt. Christopher M. …CS 194-26 Fall 2020 Project 2 ChristianMurray. Overview. In this project the goal is to familiarize ourselves with filters and frequencies and understand their roles in image manipulation. By experimenting with gaussian blurs, derivative filters, and laplacians, it was easy to understand the strength of simple filters on image manipulation.Build completed with a result of 'Failed' UnityEngine.GUIUtility:ProcessEvent(Int32, IntPtr) UnityEditor.BuildPlayerWindow+BuildMethodException: 26 errors at UnityEditor.BuildPlayerWindow+DefaultBuildMethods.BuildPlayer (UnityEditor.BuildPlayerOptions options) [0x00242] in C:\buildslave\unity\build\Editor\Mono\BuildPlayerWindowBuildMethods.cs ...Final Project 1: Poor Man's Augmented Reality Overview. In this project, I developed a simple form of augmented reality by capturing a video and inserting a synthetic object into the scene.

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CS/SB 194: Utility System Rate Base Values. GENERAL BILL by Regulated Industries ; Hooper Utility System Rate Base Values; Establishing an alternative procedure by which the Florida Public Service Commission may establish a rate base value for certain acquired utility systems; requiring that the approved rate base value be reflected in the acquiring utility's next general rate case for ...CS 194-26: Project 3 - Face Morphing. Calvin Yan, Fall 2022. In this project, we applied what we learned about image transformations to create seamless transitions between images, like below: We also used these transformations to extract and manipulate key facial characteristics, including gender, population mean, and so on.CIS 194: Introduction to Haskell (Spring 2013) Mondays 1:30-3 Towne 309. Class Piazza site. Instructor: Brent Yorgey. Email: byorgey at cis; Office: Levine 513; Office hours: Friday 2-4pm; TAs: Adi Dahiya (office hours: Thursdays 1-3pm, Moore 100) Zach Wasserman (office hours: Thursdays 12-1pm, Moore 100) Course DescriptionCOMPSCI 194-26: Project 3 Kaijie Xu [email protected] Background. In this project, I create morphs between images and play around with image warping. My first morphing animation entails a picture of myself morphed into Depp. Defining Correspondences. The first step is to define points for the two images I am trying to morphTempted to Buy Banks? Don't Catch a Falling Piano...CS Over the weekend, several folks contacted me with questions about the banking sector. The questions revolved around one k...CS 194-10, Fall 2011 Assignment 7 Solutions 1. Markov blanket (a) There are several ways to prove this. Probably the simplest is to work directly from the globalLab 1. A preliminary Lab 1 document has been uploaded. The only things that will change are the instructions for merging the lab code and the Cucumber install method. 2/5/14. Lab 0.5. The Deadline for Lab 0.5 has been moved to 9pm tomorrow (Thursday 2/6) 1/22/14. Redmine Accounts.Computer Vision (CSE 455, Seitz, University of Washington) Digital Photography (CSE 558, Curless and Salesin, University of Washington) Computational Photography (CS 691B, Doretto, West Virginia University) Chuck Dyer's University of Wisconsin Computational Photography (CS 534) home page.CS 194-10, Fall 2011 Assignment 3 Solutions 1. Entropy and Information Gain (a) To prove H(S) ≤ 1, we can find the global maximum of B(S) and show that it is at most 1. Since B(q) is differentiable, we can set the derivative to 0, 0 = ∂B ∂q = −logq −1+log(1−q)+1 ….

CS/SB 194: Utility System Rate Base Values. GENERAL BILL by Regulated Industries ; Hooper Utility System Rate Base Values; Establishing an alternative procedure by which the Florida Public Service Commission may establish a rate base value for certain acquired utility systems; requiring that the approved rate base value be reflected in the acquiring utility’s next general rate case for ...The formula for this one is I _ S = I ⊛ ( ( 1 + a) U − a G) I show experiments with the unsharp mask filter method on the same image. Given the same parameters, two methods produce the same results. Original Image with unsharp mask filter. "Sharpened" Image with unsharp mask filter. Below are some more results.Compactness ACPTforBooleanX j withLBooleanparentshas B E J A M 2L rows for the combinations of parent values Each row requires one parameter p for X j =true (the parameter for X j =false is just 1−p) If each variable has no more than L parents, the complete network requires O(D ·2L) parameters I.e., grows linearly with D, vs. O(2D) for the full joint distributionCS 194-26 Project 5: Stitching Photo Mosaics Part 1: Image Warping and Mosiacing Homography and Rectification. Equation used to calculate homography matrix. I computed the homography matrix H using the formula p' = H p for corresponding points p and p' in each of the images. Because H has 8 degrees of freedom, we only need 4 corresponding …CS 194-26 Project 1 Alice Tarng Overview. From 1907 to 1915, a man named Sergei Mikhailovich Prokudin-Gorskii traveled around the Russian Empire, taking thousands of photographs of the scenes he saw. Though this was before the era of color photography, Prokudin-Gorskii believed strongly in its potential. He recorded 3 different exposures of ...Unlike many institutions of similar stature, regular EE and CS faculty teach the vast majority of our courses, and the most exceptional teachers are often also the most exceptional researchers. ... EE 194/290-6 - TuTh 11:00-11:59, Off Campus - Borivoje Nikolic EE 194-2 - TuTh 14:00-15:29, Cory 540AB - Grigory Tikhomirov. Class homepage ...CS 194-198. Networks: Models, Processes & Algorithms. Catalog Description: Topics will vary semester to semester. See the Computer Science Division announcements. Units: 1-4. Prerequisites: Consent of instructor. Formats: Summer: 2.0-8.0 hours of lecture per week Fall: 1.0-4.0 hours of lecture per week Spring: 1.0-4.0 hours of lecture per week.r/berkeley • Plan on dating soon: Looking for someone who can train my conversation skills (No gender preference, Preferably extroverted, has relationship experience, willing to be friend with me, doesn't have workload like EECS127+CS162+Math104,speaks Chinese: this one matters the least ) Will pay if necessary.CS 194-10, Fall 2011 Assignment 2 Solutions. CS 194-10, Fall 2011 Assignment 2 Solutions. 1. (8 pts) In this question we briefly review the expressiveness of kernels. (a) Construct a support vector machine that computes the XOR function. Use values of +1 and -1 (instead of 1 and 0) for both inputs and outputs, so that an example looks like ...Courses. CS194_1871. CS 194-026. Image Manipulation and Computational Photography. Catalog Description: Topics will vary semester to semester. See the Computer Science Division announcements. Units: 1.0-4.0. Prerequisites: Consent of instructor. Formats: Fall: 1.0-4.0 hours of lecture per week Spring: 1.0-4.0 hours of lecture per week Summer: 2 ... Cs 194, CS 194: Advanced Operating Systems Structures and Implementation. CS 194: Advanced Operating Systems Structures and Implementation (Spring 2013, UC Berkeley). Instructor: Professor John Kubiatowicz. The purpose of this course is to teach the design of Operating Systems through both academic study and by making modifications to a modern OS (Linux)., CS 194-26 : Final Project (Pre-canned) -- 1: Image Quilting, 2: Gradient Domain Fusion Kunkai Lin. Image Quilting Overview. In this projcet, I'm going to implement the image quilting algorithm for texture synthesis and transfer, described in the SIGGRAPH 2001 paper by Efros and Freeman. The synthesis is extending the texture image from a small ..., CS 194: Computer Vision, Fall 22 Project 4: Image Warping and Mosaics Aidan Meyer. Overview. Take two images, morph them blend them to create a picture mosaic. Homographies. The first step to this project was computing the homographis. Because of the nature of projective transformations, we have eight unknown values to derive., CS194-26/294-26: Intro to Computer Vision and Computational Photography. This is a heavily project-oriented class, therefore good programming proficiency (at least CS61B) is absolutely essential. Moreover, familiarity with linear algebra (MATH 54 or EE16A/B or Gilbert Strang's online class) and calculus are vital., Find HHC, 194th Combat Sustainment Support Battalion unit information, patches, operation history, veteran photos and more on TogetherWeServed.com. TWS is the largest online community of Veterans existing today and is a powerful Veteran locator. If you served in HHC, 194th Combat Sustainment Support Battalion, Join TWS for free to reconnect with service friends., CS 194-015. Parallel Programming. Catalog Description: Topics will vary semester to semester. See the Computer Science Division announcements. Units: 1-4. Prerequisites: Consent of instructor., Undergraduate Catalog 2024-2025 ›. Courses A - Z ›. CS - Computer Science. CS - Computer Science. For a computer science course to be used as a prerequisite, it must have been passed with a C- or better. Courses numbered 100 to 299 = lower-division; 300 to 499 = upper-division; 500 to 799 = undergraduate/graduate. CS 211., StanfordCS194.github.io. Welcome to Stanford CS194 & CS194W. Consult Canvas for the Zoom information and the course onboarding form. Once you've been added to the course Github organization and you are logged in with your Github credentials, you'll be able to access the syllabus and all other materials., CS 194-26 Project 4. Joshua Chen Part A: Image Warping and Mosaicing Recover Homographies. In order to align two images, we need corresponding points in both images, similar to Project 3. However, unlike Project 3, we do not triangulate the image and morph the triangles., CS 194-10, Fall 2011 Assignment 6 1. Density estimation using k-NN To show that a density estimator Pˆ is a proper density function we have to show that (1) Pˆ(x) ≥ 0, CS 36 provides an introduction to the CS curriculum at UC Berkeley, and the overall CS landscape in both industry and academia—through the lens of accessibility and its relevance to diversity. ... CS 194. Special Topics. Catalog Description: Topics will vary semester to semester. See the Computer Science Division announcements. Units: 1-4 CS ..., The 194th Fighter Squadron (194 FS) is a unit of the California Air National Guard's 144th Fighter Wing (144 FW) at Fresno Air National Guard Base, California. The 194th is equipped with the F-15 Eagle and like its parent wing, the 144th, is operationally-gained within the active U.S. Air Force by the Air Combat Command (ACC)., Description. This course is a graduate seminar on developing (secure) systems from decentralized trust. In the past years, there has been much excitement in both academia and industry around the notion of decentralized security, which refers to, loosely speaking, security mechanisms that do not rely on the trustworthiness of any central entity., Part 1.1: Finite Difference Operator. The first way is to obtain the partial derivatives of an image in both the x and y directions. We do this by convolving the images with the difference operators D_x and D_y. Then, we use the partial derivatives of the image to calculate the gradient magnitude. We can also obtain the edge image by binarizing ... , CS 194-10, Fall 2011 Assignment 2 Solutions. CS 194-10, Fall 2011 Assignment 2 Solutions. 1. (8 pts) In this question we briefly review the expressiveness of kernels. (a) Construct a support vector machine that computes the XOR function. Use values of +1 and -1 (instead of 1 and 0) for both inputs and outputs, so that an example looks like ..., The homography matrix is defined as the matrix H that allows us to relate a set of corresponding points in the images. In the equation above, p represents a point in your first image and p' represents a point in the second image scaled by a factor of w. The bottom right value in the matrix of H is set to 1 as it determines the scaling factor., CS 194: Software Project Experience. Stanford / Computer Science / Spring 2024. Join the course Github organization. Welcome to CS194. We'll be using Github for class organization and submissions. To be added to our CS194 Github organization, please complete this form ., CS 194-10 Introduction to Machine Learning Fall 2011 Stuart Russell Midterm Solutions 1. (20 pts.) Some Easy Questions to Start With (a) (4) True/False: In a least-squares linear regression problem, adding an L, Part 1.1: Finite Difference Operator. The first way is to obtain the partial derivatives of an image in both the x and y directions. We do this by convolving the images with the difference operators D_x and D_y. Then, we use the partial derivatives of the image to calculate the gradient magnitude. We can also obtain the edge image by binarizing ... , 194th Combat Sustainment Support Battalion ( U.S. Army [AC]) Camp Humphreys | Pyongtaek, Area III, South Korea. , CS 194-177. Special Topics on Decentralized Finance, Mo 10:00-11:59, Joan and Sanford I. Weill 101D; CS 194-196. Special Topics on Decentralized Intelligence: Large Language Model Agents, Mo 15:00-16:59, Latimer 120; CS 294-177. Special Topics on Decentralized Finance, Mo 10:00-11:59, Joan and Sanford I. Weill 101D; CS 294-196., The k nearest neighbor (kNN) approach is a simple and effective nonparametric algorithm for classification. One of the drawbacks of kNN is that the method can only give coarse estimates of class probabilities, particularly for low values of k. To avoid this drawback, we propose a new nonparametric classification method based on nearest neighbors conditional on each class: the proposed approach ..., CS 194-26: Image Manipulation and Computational Photography, Fall 2022 Project 5: Facial Keypoint Detection with Neural Networks Mark Chan. Implementation Nose Tip Detection. We first separate the dataset for training and validation use. Then we load the keypoints and images to the propor format. We construct the CNN network as following. , A CS 194-26 project by Kevin Lin, cs194-26-aak Cameras sample a small portion of the plenoptic function . With the advent of the light-field camera, we can now capture more degrees of the plenoptic function across space., Courses. CS194_4431. CS 194-100. EECS for All: Social Justice in EECS. Catalog Description: Topics will vary semester to semester. See the Computer Science Division announcements. Units: 1-4. Prerequisites: Consent of instructor. Formats: Summer: 2.0-8.0 hours of lecture per week Fall: 1.0-4.0 hours of lecture per week Spring: 1.0-4.0 hours of ..., General Catalog Description: http://guide.berkeley.edu/courses/compsci/ Schedule of Classes: http://schedule.berkeley.edu/ Berkeley bCourses WEB portals:, Generative AI and Large Language Models (LLMs) including ChatGPT have ushered the world into a new era with rich new capabilities for wide-ranging application domains. At the same time, there is little understanding of how these new capabilities emerge, their limitations and potential risks. , Comparing the Stihl MS201TC M vs the Echo CS-362TES vs T540XPMS201TC M was equipped with a PS3 chain filed half way down and depth gauge was set on 0.65mm do..., CS 189: 40% for the Final Exam. CS 289A: 20% for the Final Exam. CS 289A: 20% for a Project. Supported in part by the National Science Foundation under Awards CCF-0430065, CCF-0635381, IIS-0915462, CCF-1423560, and CCF-1909204, in part by a gift from the Okawa Foundation, and in part by an Alfred P. Sloan Research Fellowship., CS 194-26 Computational Photography Images of the Russian Empire: Colorizing the Prokudin-Gorskii photo collection Victor Vong, CS194-26-acq. Overview. The goal was to align the 3 (RGB) color channels of images of the russian empire in order to produce the best original colored image. We devised both single and multilayer alignment methods to ..., A CS 194-26 project by Kristin Ho, cs194-26-aai. In this project I take two or more photographs and create an image mosaic by registering, projective warping, resampling, and compositing them. Along the way, I compute homographies, and use them to warp images. Running the Code., CS 194-26 Project 2: Fun With Filters and Frequencies. 1.1 Finite Difference Operator. Using "gradient" filters to find edges: Original image I I I ..., CS 194-26: Intro to Computer Vision and Computational Photography, Fall 2021 Project 5: Facial Keypoint Detection with Neural Networks Eric Zhu. Overview. In this project, I trained convolutional neual networks to learn to find keypoints on a person's face. The first neural network was train to find just the tip of a person's nose.