- EE 267 - Computer Vision with Artificial Intelligence . . .
3unit (s) Fundamental concepts of computer vision and image processing with applications in artificial intelligence (AI) The course first covers basic techniques of digital image processing and computer vision, including image convolution, transformation, segmentation, and pattern recognition In connection with these techniques, the theory of Convolutional Neural Network (CNN) and related
- EE267 Course | Stanford University Bulletin
EE267 Course | Stanford University BulletinOpenGL, real-time rendering, 3D display systems, display optics electronics, IMUs and sensors, tracking, haptics, rendering pipeline, multimodal human perception and depth perception, stereo rendering, presence Emphasis on VR technology Hands-on programming assignments The 3-unit version requires a final programming assignment in which you create
- GitHub - mohism-ai-lab EE267: Homework and Project for . . .
Stanford's Virtual Reality Course Code for Stanford's EE267: Virtual Reality course Implements shading, analaglyph stereo rendering, lens distortion correction,etc Homework 1: WebGL and Graphics Pipeline Rotation, translation, scaling, modelview matrix, projection matrix Homework 2: Lighting and Shading with GLSL GLSL vertex and fragment
- Syllabus | EE267 - Stanford University
Schedule and Syllabus The lecture videos are released weekly on canvas Students with Documented Disabilities: Students who may need an academic accommodation based on the impact of a disability must initiate the request with the Office of Accessible Education (OAE) Professional staff will evaluate the request with required documentation, recommend reasonable accommodations, and prepare an
- EE 267 : Computer Vision with Artificial Intelligence . . .
Access study documents, get answers to your study questions, and connect with real tutors for EE 267 : Computer Vision with Artificial Intelligence Applications at San Jose State University
- Syllabi | Electrical Engineering
Find and download the syllabus for most of our Graduate EE courses Find PDF files from this semester's classes and past semesters as well
- EE 267 : - Stanford University - Course Hero
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- Hardware | EE267 - Stanford University
The EE267 uses custom hardware for position tracking This shield for the Teensy provides the proper support circuitry for the photodiodes used with the HTC Vive Lighthouses For the EE267 class, we provide hardware to students in the kits If you would like to build your own VRduino tracker board, the manufacturing files are available here
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