Titlebook: Computer Vision - ACCV 2014 Workshops; Singapore, Singapore C.V. Jawahar,Shiguang Shan Conference proceedings 2015 Springer International P

弯曲道理

gastritis

3D Activity Recognition Using Motion History and Binary Shape Templatesoverlaying all the body silhouettes in a block, separately for each view. To effectively trace shape-growth, BSTs are built additively along the blocks..Consequently, the complete ensemble of gradient features carries both 3D shape and motion information to effectively model the dynamics of an artic

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Gait Recognition Based Online Person Identification in a Camera Networkdistance between two gait spaces is the same as distance between two points on a Grassmann manifold. Person identification is, therefore, carried out on-the-fly based on the uniqueness of gait, using Grassmann discriminant analysis.

小平面

刺耳

Object Recognition in 3D Point Cloud of Urban Street Scenessified by trained boosted decision trees and labeled with semantic classes e.g. tree, pedestrian, car, etc. The proposed method is evaluated both quantitatively and qualitatively on a challenging fixed-position . (TLS) Velodyne data set and two . (MLS), Paris-rue-Madam and NAVTEQ True databases. Ro

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entail

Evaluation of Depth-Based Super Resolution on Compressed Mixed Resolution 3D Videotep of the DBSR can be changed to simpler consistency check method. In this way the DBSR computational complexity is reduced by 26 % with 0.2 % dBR average bitrate reduction for coded views and 0.1 % average bitrate increase for synthesized views. We show that proposed scheme outperforms the anchor

非实体

0302-9743 Vision Technology, the Third Workshop on E-Heritage and the Workshop on Computer Vision for Affective Computing. LNCS 9010 contains the papers selected for the Workshop on Feature and Similari978-3-319-16627-8978-3-319-16628-5Series ISSN 0302-9743 Series E-ISSN 1611-3349

发现

A New Gait-Based Identification Method Using Local Gauss Mapsing body shapes as silhouettes averaged over gait cycles. Our method, however, captures geometric properties of the silhouettes boundaries. Namely, we evaluate contour curvatures locally using Gauss maps. This results in an improved shape representation, as contrasted to average silhouettes. In addi

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