Titlebook: Computer Vision -- ACCV 2009; 9th Asian Conference Hongbin Zha,Rin-ichiro Taniguchi,Stephen Maybank Conference proceedings 2010 Springer-Ve

落后的煤渣

書目名稱Computer Vision -- ACCV 2009影響因子(影響力)




書目名稱Computer Vision -- ACCV 2009影響因子(影響力)學(xué)科排名




書目名稱Computer Vision -- ACCV 2009網(wǎng)絡(luò)公開度




書目名稱Computer Vision -- ACCV 2009網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Computer Vision -- ACCV 2009被引頻次




書目名稱Computer Vision -- ACCV 2009被引頻次學(xué)科排名




書目名稱Computer Vision -- ACCV 2009年度引用




書目名稱Computer Vision -- ACCV 2009年度引用學(xué)科排名




書目名稱Computer Vision -- ACCV 2009讀者反饋




書目名稱Computer Vision -- ACCV 2009讀者反饋學(xué)科排名

流浪

freight

An Effective Segmentation for Noise-Based Image Verification Using Gamma Mixture Modelserification is generated by adding noise into character or digit images to make them hard to be recognized by Optical Character Recognition (OCR). In this paper, we propose a novel probability gradient function for active contour models to efficiently segment this type of images for easier recogniti

抗原

有花

Color Correction and Compression for Multi-view Video Using H.264 Features viewpoints deteriorate the visual quality of multi-view video. This paper deals with these two problems simultaneously focusing on color. With the spatial block-matching information from multi-view video coding, color annotated images can be produced given gray input in one view and color input in

Vldl379

Vldl379

Real-Time Object Detection with Adaptive Background Model and Margined Sign Correlatione a great deal of computational cost, and have difficulty in real-time applications. In this paper, we propose a real-time system for object detection in outdoor environments using a graphics processing unit (GPU). We implement two algorithms on a GPU: adaptive background model, and margined sign co

得意人

condescend

Weighted Map for Reflectance and Shading Separation Using a Single Imageo of each point) and shading (the illumination of each point). Because reflectance images are invariant under different illumination conditions, they are more appropriate for some vision applications, such as recognition, detection. We develop the system to separate them from a single image. Firstly

COMMA

Polygonal Light Source Estimation, while this work considers an area light source which is estimated in 3D space by reconstructing its edges. An empirical analysis on existing methods for line estimation from a single view is carried out, and it is shown that line estimation for a single view of a sphere is an ill-conditioned confi