By Lourdes Agapito, Michael M. Bronstein, Carsten Rother
The four-volume set LNCS 8925, 8926, 8927, and 8928 includes the completely refereed post-workshop complaints of the Workshops that happened at the side of the thirteenth eu convention on computing device imaginative and prescient, ECCV 2014, held in Zurich, Switzerland, in September 2014.
The 203 workshop papers have been rigorously reviewed and chosen for inclusion within the complaints. They the place awarded at workshops with the subsequent topics: the place machine imaginative and prescient meets paintings; computing device imaginative and prescient in automobile expertise; spontaneous facial habit research; client intensity cameras for computing device imaginative and prescient; "chalearn" humans: pose, restoration, action/interaction, gesture acceptance; video occasion categorization, tagging and retrieval in the direction of titanic information; laptop imaginative and prescient with neighborhood binary trend versions; visible item monitoring problem; desktop imaginative and prescient + ontology applies cross-disciplinary applied sciences; visible conception of affordance and practical visible primitives for scene research; graphical versions in computing device imaginative and prescient; mild fields for desktop imaginative and prescient; laptop imaginative and prescient for highway scene knowing and independent using; smooth biometrics; moving and adapting resource wisdom in machine imaginative and prescient; surveillance and re-identification; colour and photometry in laptop imaginative and prescient; assistive computing device imaginative and prescient and robotics; computing device imaginative and prescient difficulties in plant phenotyping; and non-rigid form research and deformable photo alignment. also, a panel dialogue on video segmentation is included.
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Additional resources for Computer Vision - ECCV 2014 Workshops: Zurich, Switzerland, September 6-7 and 12, 2014, Proceedings, Part IV
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The testing of these descriptors, and diﬀerent encoding methods, is performed by measuring the positional error inferred during one journey with respect to other journeys along the same approximate path. There are three main contributions described in this paper. First, we compare diﬀerent techniques for visual feature extraction with the aim of associating locations between diﬀerent journeys along roughly the same physical route. Secondly, we suggest measuring the quality of position inference relative to multiple passes through the same route by introducing a positional estimate of ground truth that is determined with modiﬁed surveying instrumentation.
Computer Vision - ECCV 2014 Workshops: Zurich, Switzerland, September 6-7 and 12, 2014, Proceedings, Part IV by Lourdes Agapito, Michael M. Bronstein, Carsten Rother