PPT-Photometric stereo CS5670 : Computer Vision

Announcements Project 4 stereo released today due Friday April 1 at 8pm To be done in groups of 2 Recap Lambertian Diffuse Reflectance I observed image intensity k d object albedo. Lucas Takeo Kanade Computer Science Department CarnegieMellon University Pittsburgh Pennsylvania 15213 Abstract Image registration finds a variety of applications in computer vision Unfortunately traditional image registration techniques tend to be Ruan1unimasseyacnz brPage 2br Parallel algorithms for stereo vision 57521 shape from stereo ING IE R UAN X ENOPHON Institute of Information Mathematical Sciences Massey University at Albany Auckland New Zealand XingjieRuan1unimasseyacnz This paper Huttenlocher Department of Computer Science Cornell University Ithaca NY 14853 yulidph cscornelledu Abstract We present a random 64257eld based model for stereo vision with explicit occlusion labeling in a probabilistic frame work The model employs 8: . Stereo. Depth from Stereo. Goal: recover depth by finding image coordinate x’ that corresponds to x. f. x. x’. Baseline. B. z. C. C’. X. f. X. x. x'. Depth from Stereo. Goal: recover depth by finding image coordinate x’ that corresponds to x. Computer Vision Lecture 22: Depth. 1. Stereo Vision. Comparing the similar triangles PMC. l. and p. l. LC. l. , we get:. Similarly, for PNC. Computer Vision Lecture 20: Hidden Markov Models/Depth. 1. Stereo Vision. Due to the limited resolution of images, increasing the baseline distance b gives us a . Chapter 11 Stereo Correspondence. Presented by: . 蘇唯誠. 0921679513. r02922114@ntu.edu.tw. 指導教授. : . 傅楸善 博士. Introduction. Stereo matching is the process of taking two or more images and estimating a 3D model of the scene by finding matching pixels in the images and converting their 2D positions into 3D depths.. CS5670 : Computer Vision. Noah Snavely. A Single Image: Shape from Shading. Assume is 1 for now.. What can we measure from one image?. is the angle between N and L. Add assumptions:. Noah . Snavely. , . Zhengqi. Li. Single image stereogram, by . Niklas. . Een. Mark Twain at Pool Table", no date, UCR Museum of Photography. Stereo. Given two images from different viewpoints. How can we compute the depth of each point in the image?. Walter J. . Scheirer. , . Samuel . E. . Anthony, Ken Nakayama & David . D. . Cox. IEEE Transactions on Pattern Analysis and Machine Intelligence (2014), 36(8), 1679-1686. Presented by: Talia Retter. Photometric stereo Radiance Pixels measure radiance This pixel Measures radiance along this ray Where do the rays come from? Rays from the light source “reflect” off a surface and reach camera Reflection: Surface absorbs light energy and radiates it back Ronen Basri, Michal Irani, Shimon Ullman. Teaching Assistants. Tal Amir, Sima Sabah, . Netalee. Efrat, . Nati . Ofir, . Yuval . Bahat, . Itay Kezurer.. Misc.... Course website – look under: . Miguel Tavares Coimbra. Computer Vision - TP7 - Segmentation. Outline. Introduction to segmentation. Thresholding. Region based segmentation. 2. Computer Vision - TP7 - Segmentation. Topic: Introduction to segmentation. Software and Services Group. IoT Developer Relations, Intel. 2. 3. What. is the Intel® CV SDK?. 4. The Intel® Computer Vision SDK is a new software development package for development and optimization of computer vision and image processing pipelines for Intel System-on-Chips (.