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

BET

Conference proceedings 2010 This was the ?rst ACCV conference to take place in mainland China. We received a total of 670 full submissions, which is a new record in the ACCV series. Overall, 35 papers were selected for oral presentation and 131 as posters, yielding acceptance rates of 5.2% for oral, 19.6% for poster, and 24.8

ETHER

Convolutional Virtual Electric Field External Force for Active Contourss much better segmentation than VEF snake in terms of noise suppression, C-shape concavity convergence, weak edge preserving, and neighbored objects separation. These advantages has been demonstrated and verified on synthetic and real images.

致命

An Effective Segmentation for Noise-Based Image Verification Using Gamma Mixture Modelson. Experiments on a set of images with different intensities and types of noise show the superiority of the proposed probability gradient to traditional method. The purpose of our paper is to warn some websites who are still using such kind of verification: they should improve their defense method to prevent them from the potential risk.

floaters

Polygonal Light Source Estimationguration..By considering a second identical sphere, a closed form solution for single view polygonal light estimation is proposed. In addition, this paper also proposes an iterative approach based on two unknown views of just a single sphere. Experimental results on both synthetic and real data are presented.

个人长篇演说

Object Detection with Multiple Motion Modelsl not fail to detect objects changing their motion models as the existing algorithms. Experimental results show that our proposed algorithm has a better performance than the existing joint detection and tracking algorithms with different single motion models, in detecting objects with multiple motion models.

byline

词根词缀法

Arthropathy

https://doi.org/10.1007/978-1-349-07765-6 further optimization the above lighting parameters. By applying the proposed lighting model optimization on an image sequence, the neighboring frames become similar in brightness and contrast while features are enhanced. The effectiveness of the proposed approach is illustrated on the detection and tracking of facial features.

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moribund

Real-Time Object Detection with Adaptive Background Model and Margined Sign Correlation in outdoor environments using a graphics processing unit (GPU). We implement two algorithms on a GPU: adaptive background model, and margined sign correlation. These algorithms can robustly detect moving objects and remove shadow regions. Experimental results demonstrate the real-time performance of the proposed system.