Titlebook: Advances in Visual Computing; 5th International Sy George Bebis,Richard Boyle,Daniel Coming Conference proceedings 2009 Springer-Verlag Ber

EXERT

书目名称Advances in Visual Computing影响因子(影响力)




书目名称Advances in Visual Computing影响因子(影响力)学科排名




书目名称Advances in Visual Computing网络公开度




书目名称Advances in Visual Computing网络公开度学科排名




书目名称Advances in Visual Computing被引频次




书目名称Advances in Visual Computing被引频次学科排名




书目名称Advances in Visual Computing年度引用




书目名称Advances in Visual Computing年度引用学科排名




书目名称Advances in Visual Computing读者反馈




书目名称Advances in Visual Computing读者反馈学科排名

倔强不能

Advances in Visual Computing978-3-642-10331-5Series ISSN 0302-9743 Series E-ISSN 1611-3349

Inveterate

https://doi.org/10.1007/978-3-642-10331-5Active contour; Animation; HCI; Optical flow; ava; computed tomography (CT); computer vision; image process

致敬

Picks-Disease

Conservation of Contemporary Art shapes) or hand movements (hand gestures). Such a hand interface system can be realized by using cameras as input devices, and software for analyzing the images. In this hand interface system, commands are recognized by analyzing the hand shapes and its trajectories in the images. Therefore, succes

PHIL

Hdl348

https://doi.org/10.1007/978-3-031-42357-4, redundant edge based features overcome the problem of edge fragmentation while the efficient use of geometrically related feature pairs allows us to construct a robust object shape matcher, invariant to translation, scale and rotation. These prerequisites are used for weakly supervised learning of

乱砍

Conceptual Art and Conservationar methods in 2D image retrieval. We extent this approach from 2D images to 3D shapes. Following the BoF outline, we address the necessary modifications for the 3D extension and present novel solutions for the parameterization of 3D patches, a 3D rotation invariant similarity measure for these patch

TOXIC

K. E. Sweetman,P. S. Maitland,A. A. Lylesing a bag of features scheme, the major bottleneck of such an approach would be the feature pooling in local histograms of visual words. Therefore, we propose to bypass this time-consuming step and directly obtain the score from a linear Support Vector Machine classifier. This is achieved by creati

endocardium