Computer Vision – ECCV 2012. Workshops and Demonstrations: by David Pfeiffer, Friedrich Erbs, Uwe Franke (auth.), Andrea

By David Pfeiffer, Friedrich Erbs, Uwe Franke (auth.), Andrea Fusiello, Vittorio Murino, Rita Cucchiara (eds.)

The 3 quantity set LNCS 7583, 7584 and 7585 contains the Workshops and Demonstrations which came about in reference to the ecu convention on laptop imaginative and prescient, ECCV 2012, held in Firenze, Italy, in October 2012. the full of 179 workshop papers and 23 demonstration papers was once rigorously reviewed and chosen for inclusion within the complaints. They the place held at workshops with the next topics: non-rigid form research and deformable photograph alignment; visible research and geo-localization of large-scale imagery; Web-scale imaginative and prescient and social media; video occasion categorization, tagging and retrieval; re-identification; organic and desktop imaginative and prescient interfaces; the place laptop imaginative and prescient meets artwork; customer intensity cameras for desktop imaginative and prescient; unsolved difficulties in optical circulation and stereo estimation; what is in a face?; colour and photometry in machine imaginative and prescient; desktop imaginative and prescient in automobile expertise: from earth to mars; elements and attributes; research and retrieval of tracked occasions and movement in imagery streams; motion reputation and pose estimation in nonetheless photos; higher-order types and worldwide constraints in laptop imaginative and prescient; details fusion in desktop imaginative and prescient for inspiration reputation; 2.5D sensing applied sciences in movement: the search for 3D; benchmarking facial snapshot research technologies.

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Extra resources for Computer Vision – ECCV 2012. Workshops and Demonstrations: Florence, Italy, October 7-13, 2012, Proceedings, Part III

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Finally, in order to extract all moving objects, graph cut based optimization is used to find the optimum segmentation of the dynamic Stixel World. As a result we get an extremely robust recognition system with an unprecedented performance. Practice proves the attempted versatility of the Stixel World. It has been successfully used for the initialization of object-specific trackers like the vehicle tracker proposed by Barth [3]. Muffert et al. [21] were able to easily answer the question whether it is safe to enter a roundabout by analyzing the Stixel World computed for a sidewayslooking camera system.

Fine-grained attributes are better revealed in the discriminative description task (right), than in the traditional description task (left) instances, as well as sufficient to distinguish instances from one another using the lexicon. To this end we propose a novel annotation task of discriminative description, where one is asked to describe differences between pairs of images. As shown in Figure 1, in our interface, the annotator is shown a pair of images and is asked to describe in free-form English, a few differences between the two.

Sampling Rows and Columns. To solve these problems we propose to change the parametrization from the u-disparity domain into directly the u-v domain. We are unaware of any previous work that used such parametrization. In order to exploit the horizontal gradient information, one could weight the likelihood of a particular boundary candidate by the gradient magnitude at a particular pixel. This would force to consider every pixel below the horizon line. In order to speed-up the evaluation we use an alternative approach.

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