PPT-Keypoint

extraction Corners 9300 Harris Corners Pkwy Charlotte NC Why extract keypoints Motivation panorama stitching We have two images how do we combine them Why extract keypoints . The last decade featured an armsrace towards faster and more robust keypoints and association algorithms Scale Invariant Feature Trans form SIFT 17 Speedup Robust Feature SURF and more recently Binary Robust Invariant Scalable Keypoints BRISK 16 (Presented by Josh Gleason). Binary Robust Invariant Scalable . Keypoints. Sefan. . Leutenegger. , Margarita . Chli. and Roland Y. . Siegwart. ICCV11. Overview. Objective. Related Work. Key-point detection. : . Joint Image Set Alignment by Weaving Consistent, Pixel-wise Correspondences. Tinghui Zhou. 1. , Yong Jae Lee. 2. , Stella X. Yu. 1,3. , Alexei A. Efros. 1. UC Berkeley. 1. UC Davis. S. Liao, A. K. Jain, and S. Z. Li, "Partial Face Recognition: Alignment-Free Approach", . IEEE Transactions on Pattern Analysis and Machine Intelligence. , Vol. 35, No. 5, pp. 1193-1205, May 2013, . Baraniuk. . Chinmay. . Hegde. . . Sriram. . Nagaraj. Manifold Learning in the Wild. A New Manifold Modeling and Learning Framework for Image Ensembles. Aswin. C. . Sankaranarayanan. Baraniuk. . Chinmay. . Hegde. . . Manifold Learning in the Wild. A New Manifold Modeling and Learning Framework for Image Ensembles. Aswin. C. . Sankaranarayanan. Rice University. MatLab. Pier Luigi . Mazzeo. Sift purpose. Find and describe interest points invariants to:. Scale. Rotation. Illumination. Viewpoint. Do it Yourself. Constructing a scale space. LoG. Approximation. 3 types of descriptors. :. SIFT / PCA-SIFT . (. Ke. , . Sukthankar. ). GLOH . (. Mikolajczyk. , . Schmid. ). DAISY . (. Tola. , et al, Winder, et al). Comparison of descriptors . (. Mikolajczyk. : . Clustering . Crowdsourced. Videos by Line-of-Sight. Puneet. Jain. , Justin . Manweiler. , . Arup . Acharya. , and Kirk . Beaty. Clustered by shared subject. c. hallenges. CAN IMAGE PROCESSING SOLVE THIS PROBLEM?. Baraniuk. . Chinmay. . Hegde. . . Manifold Learning in the Wild. A New Manifold Modeling and Learning Framework for Image Ensembles. Aswin. C. . Sankaranarayanan. Rice University. for . Facial Keypoint Detection. Maheen Rashid, Xiuye Gu, Yong Jae Lee. CVPR 2017. UC Davis. The Problem. Input. Output. Outline. Pain . Detection in Animals and . Humans. Interspecies T. ransfer . Learning for . Saliency and KAZE Features Authors: Siddharth Srivastava, Prerana Mukherjee, Dr. Brejesh Lall SPCOM 2016 Department of Electrical Engineering Indian Institute of Technology, Delhi Overview • Intro Xindian. Long. 2018.09. Outline. Introduction. Object Detection Concept and the YOLO Algorithm. Object Detection Example (CAS Action). Facial Keypoint Detection Example (. DLPy. ). Why SAS Deep Learning . Kevin Cheng. To detect and track key features needed to interpret events in a Soccer game from a video. Goal. Clip. Player Detector. Field Detector. Ball Detector. Overview. Frame Pre-Processing. Input Image.