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Kapitel 14 Recognition – p. 1 Recognition Scene understanding / visual object categorization Pose clustering Object recognition by local features Image.
Visual Event Recognition in Videos by Learning from Web Data Lixin Duan, Dong Xu, Ivor Tsang, Jiebo Luo ¶ Nanyang Technological University, Singapore ¶
A Fast Local Descriptor for Dense Matching Engin Tola, Vincent Lepetit, Pascal Fua Computer Vision Laboratory EPFL Engin Tola, Vincent Lepetit, Pascal.
Real-Time Logo Detection and Tracking
Lecture 08 larry zitnick - undestanding and describing scenes
Sift
ECE 562 Computer Architecture and Design Project: Improving Feature Extraction Using SIFT on GPU Rodrigo Savage, Wo-Tak Wu.
Attention Model Based SIFT Keypoints Filtration for Image Retrieval Ke Gao 1,2, Shouxun Lin 1, Yongdong Zhang 1, Sheng Tang 1, Huamin Ren 1,3 1 Key Laboratory.
Robust and large-scale alignment Image from
Tour the World: building a web-scale landmark recognition engine ICCV 2009 Yan-Tao Zheng1, Ming Zhao2, Yang Song2, Hartwig Adam2 Ulrich Buddemeier2, Alessandro.
Distinctive image features from scale-invariant keypoints. David G. Lowe, Int. Journal of Computer Vision, 60, 2 (2004), pp. 91-110 Presented by: Shalomi.