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Advanced Concepts for Intelligent Vision Systems: 12th - download pdf or read online

By Prarthana Shrestha, Hans Weda, Mauro Barbieri, Peter H. N. de With (auth.), Jacques Blanc-Talon, Don Bone, Wilfried Philips, Dan Popescu, Paul Scheunders (eds.)

ISBN-10: 3642176879

ISBN-13: 9783642176876

This e-book constitutes the refereed court cases of the twelfth overseas convention on complicated strategies for clever imaginative and prescient structures, ACIVS 2010, held in Changchun, China, in August 2010. The seventy eight revised complete papers offered have been rigorously reviewed and chosen from a hundred and forty four submissions. The papers are geared up in topical sections on photo processing and research; segmentation and area detection; 3D and intensity; algorithms and optimizations; video processing; surveillance and digital camera networks; desktop imaginative and prescient; distant sensing; and popularity, type and monitoring.

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Read or Download Advanced Concepts for Intelligent Vision Systems: 12th International Conference, ACIVS 2010, Sydney, Australia, December 13-16, 2010, Proceedings, Part II PDF

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Additional info for Advanced Concepts for Intelligent Vision Systems: 12th International Conference, ACIVS 2010, Sydney, Australia, December 13-16, 2010, Proceedings, Part II

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In the latter case, the quality of images is very poor and matching is far from perfect, but nevertheless still possible. 28 4 ´ A. Sluzek and M. Paradowski Conclusions In the paper we have outlined a topology-based approach to image fragment matching in real time. In earlier papers, [24], we have suggested applications of the proposed method in assisting visually handicapped people and autonomous agents navigating in unknown and unexplored environments. The presented solution makes such systems feasible.

Significance of phase and amplitude in the Fourier domain. Journal of Optical Society of America A 14, 2901–2904 (1997) 13. edu/research/quality 14. ITU-R Recommendation BT. pl Abstract. Detection and localization of unspecified similar fragments in random images is one of the most challenging problems in CBVIR (classic techniques focusing on full-image or sub-image retrieval usually fail in such a problem). We propose a new method for near-duplicate image fragment matching using a topology-based framework.

Besides very mild vibrations, the camera’s optical and positional parameters remained fixed. The first task was to construct the edge background model. Starting from the edge image, computed using the Canny’s edge detector[1] on the incoming image stream {Ik (x)}, we estimate the image gradient ∇Ik (x) of every edge pixel. After the whole sequence has been processed, a histogram of frequency is computed (see Fig. 2). Let h(n) be an ordered set containing the number of frames that a given edge pixel in x shows up in the test sequence.

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Advanced Concepts for Intelligent Vision Systems: 12th International Conference, ACIVS 2010, Sydney, Australia, December 13-16, 2010, Proceedings, Part II by Prarthana Shrestha, Hans Weda, Mauro Barbieri, Peter H. N. de With (auth.), Jacques Blanc-Talon, Don Bone, Wilfried Philips, Dan Popescu, Paul Scheunders (eds.)


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