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

ISBN-10: 3642338844

ISBN-13: 9783642338847

ISBN-10: 3642338852

ISBN-13: 9783642338854

The 3 quantity set LNCS 7583, 7584 and 7585 includes the Workshops and Demonstrations which came about in reference to the eu convention on computing device imaginative and prescient, ECCV 2012, held in Firenze, Italy, in October 2012. the complete of 179 workshop papers and 23 demonstration papers used to be conscientiously reviewed and chosen for inclusion within the complaints. They the place held at workshops with the next subject matters: non-rigid form research and deformable photo 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 laptop imaginative and prescient interfaces; the place desktop imaginative and prescient meets paintings; buyer intensity cameras for machine imaginative and prescient; unsolved difficulties in optical movement and stereo estimation; what is in a face?; colour and photometry in desktop 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 photographs; higher-order types and international constraints in computing device imaginative and prescient; details fusion in laptop imaginative and prescient for inspiration popularity; 2.5D sensing applied sciences in movement: the hunt for 3D; benchmarking facial photo research technologies.

Show description

Read Online or Download Computer Vision – ECCV 2012. Workshops and Demonstrations: Florence, Italy, October 7-13, 2012, Proceedings, Part III PDF

Similar nonfiction_7 books

New PDF release: Nonlinear Crack Models for Nonmetallic Materials

During this quantity a survey of the main correct nonlinear crack versions is equipped, with the aim of reading the nonlinear mechanical results happening on the tip of macrocracks in quasi-brittle fabrics - similar to concrete, rocks, ceramics, polymers, high-strength metal alloys - and in brittle-matrix fibre-reinforced composites.

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

Sample text

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. The image Fast Stixel Computation for Fast Pedestrian Detection 15 is split vertically in multiple row bands, and inside every band, for every image column, the pixel with the maximal horizontal gradient is selected (see figure 3).

In: IVS (2012) 16. : Stixels Motion Estimation without Optical Flow Computation. , Schmid, C. ) ECCV 2012, Part VI. LNCS, vol. 7577, pp. 528–539. Springer, Heidelberg (2012) 17. : Histograms of oriented gradients for human detection. edu Abstract. We propose a framework to discover a lexicon of visual attributes that supports fine-grained visual discrimination. It consists of a novel annotation task where annotators are asked to describe differences between pairs of images. This captures the intuition that for a lexicon to be useful, it should achieve twin goals of discrimination and communication.

1 Related Work The idea of exploiting stereo information to speed-up objects detection has been around since more than fifteen years [4] . Multiple methods for coupling depth maps and objects detection have been proposed [5,6,7,8,9,10,11]. Similarly, free space estimation allows to disregard areas of the image where we know obstacles are not present [12,13]. The vast majority of methods previously proposed compute as a first step a dense (or semi-dense) depth map of the scene, and then use this depth map to infer the presence of objects.

Download PDF sample

Computer Vision – ECCV 2012. Workshops and Demonstrations: Florence, Italy, October 7-13, 2012, Proceedings, Part III by David Pfeiffer, Friedrich Erbs, Uwe Franke (auth.), Andrea Fusiello, Vittorio Murino, Rita Cucchiara (eds.)


by Joseph
4.2

Rated 4.73 of 5 – based on 10 votes