Visual learning and recognition of 3-D objects from appearance
International Journal of Computer Vision
Nonmonotone Levenberg-Marquardt algorithms and their convergence analysis
Journal of Optimization Theory and Applications
Recent Methods for Image-Based Modeling and Rendering
VR '03 Proceedings of the IEEE Virtual Reality 2003
Video Mosaics for Virtual Environments
IEEE Computer Graphics and Applications
Iterative closest SIFT formulation for robust feature matching
ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part II
Network-Based face recognition system using multiple images
PRIMA'06 Proceedings of the 9th Pacific Rim international conference on Agent Computing and Multi-Agent Systems
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This paper proposes a combined recognition method related to frames based on a combined CCTV system using local partial images. The goal of the proposed algorithm is to reduce the combining speed and increase the overall recognition rate compared to existing methods. Since the SIFT algorithm, an existing method, has the disadvantages of being patented and slow, speed was raised to actually match the processing speed of CCTV in this paper by using an improved local image regeneration method. This paper consists of a description of the overall system based on the recognition rate and speed and use of localized images that was built along with an introduction to the algorithm. Performance was comparatively evaluated through actual tests. By applying this method to CCTV operating in real time, a low cost inline system which reduces monitoring fatigue since each individual screen need not be observed was built. In addition to being economically effective, it can also be used by regular users.