By Xianzheng Song, Jian Yang, Weijian Cong (auth.), Tieniu Tan, Qiuqi Ruan, Xilin Chen, Huimin Ma, Liang Wang (eds.)
This e-book constitutes the refereed court cases of the chinese language convention on snapshot and pix applied sciences and purposes, IGTA 2013, held in Beijing, China, in April 2013. The forty papers and posters provided have been conscientiously reviewed and chosen from 89 submissions. The papers tackle matters akin to the iteration of recent rules, new ways, new ideas, new functions and new assessment within the box of photograph processing and graphics.
Read Online or Download Advances in Image and Graphics Technologies: Chinese Conference, IGTA 2013, Beijing, China, April 2-3, 2013. Proceedings PDF
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Extra resources for Advances in Image and Graphics Technologies: Chinese Conference, IGTA 2013, Beijing, China, April 2-3, 2013. Proceedings
The object detector is based on 2bit Binary Patterns(2bitBP), which measure gradient orientation in a certain area and output four possible codes. The detection classifier has the form of a randomized forest. The forest consists of several trees. Each tree is built from one group of features. If the patch reaches the end of the tree, it is considered positive; otherwise if it can’t reach the end, the patch is treated as negative. Evaluation of an unknown patch by the tree is very efficient. The final decision is obtained by the majority vote.
IEEE, New York (1994) 2. : A massively parallel architecture for a self-organizing neural pattern recognition machine. Comp. Vision Graphics and Image Process 37(1), 54–115 (1987) 3. : ART-2: self-organization of stable category recognition codes for analog input pattern. App. Optics 26(23), 4919–4930 (1987) 4.
The P-N learning establishes a positive-negative feedback system, which maintains the tracking system stable and reliable. TLD Based Visual Target Tracking for Planetary Rover Exploration 31 The task of detection component is to localize patches contained in the online model and to efficiently adjust its decision boundary by the growing and pruning events. The object detector is based on 2bit Binary Patterns(2bitBP), which measure gradient orientation in a certain area and output four possible codes.
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