February 22, 2017

Advanced Concepts for Intelligent Vision Systems: 12th by Sergey V. Sai, Ilya S. Sai, Nikolay Yu. Sorokin (auth.),

By Sergey V. Sai, Ilya S. Sai, Nikolay Yu. Sorokin (auth.), Jacques Blanc-Talon, Don Bone, Wilfried Philips, Dan Popescu, Paul Scheunders (eds.)

This quantity collects the papers permitted for presentation on the twelfth Int- nationwide convention on “Advanced strategies for clever imaginative and prescient structures” (ACIVS 2010). Following the ?rst assembly in Baden-Baden (Germany) in 1999, whichwaspartofalargemulticonference,theACIVSconferencethendeveloped into an self sustaining scienti?c occasion and has ever considering that maintained the culture of being a unmarried song convention. ACIVS 2010 attracted desktop scientists from 29 di?erent international locations, generally from Europe, Australia, and america, but in addition from Asia. even supposing ACIVS is a convention on all components of snapshot and video processing, submissions are inclined to assemble inside of sure significant ?elds of curiosity. This yr 3D and intensity processing and laptop imaginative and prescient and surveillance have been well known subject matters. Noteworthy are the becoming variety of papers regarding theoretical devel- ments. we want to thank the invited audio system Mubarak Shah (University of primary Florida), Richard Kleihorst (VITO, Belgium), Richard Hartley (A- tralian nationwide University), and David Suter (Adelaide collage) for his or her priceless contributions.

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

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Why is image quality assessment so difficult. In: IEEE International Conference on Acoustics, Speech and Signal Processing, vol. 4, pp. 3313–3316 (2002) 2. : Quality measurement for monochrome compressed images in the past 25 years. In: IEEE International Conference on Acoustics, Speech and Signal Processing, vol. 4, pp. 1907–1910 (2000) 3. : What is wrong and right with MSE. In: Eighth IASTED International Conference on Signal and Image Processing, IASTED, pp. 212–215 (2006) 4. : Objective picture quality scale (PQS) for image coding.

The strategy is sound, as it allows to segregate these shadows from others, cast by moving objects, such as vehicles and people. This result is important since shadows are pervasive and they tend to degrade the performance of computer vision systems. On the other hand, they could be a valuable source of information regarding the structure of the environment, including the position of the light sources. Future work will focus upon the use of different projections obtained at extended periods of observation to gain understanding about the 3-D properties of the structures casting the shadows.

4. Both methods correctly match planar surfaces. The geometric approach captures only parts of objects; the topological approach captures objects with some background. Fig. 5. Near-duplicates matched using the topological approach (Harris-Affine detector and SIFT descriptor applied) randomly selected 1000 distracting image pairs (without similar objects). The database and the method are made publicly available2 . e. the entropy-based approach [11]. pl/~ visible 26 ´ A. Sluzek and M. Paradowski The approach has been tested on our database using publicly available executables3 .

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