Titlebook: Computer Vision; CCF Chinese Conferen Hongbin Zha,Xilin Chen,Qiguang Miao Conference proceedings 2015 Springer-Verlag Berlin Heidelberg 201

TIBIA

書目名稱Computer Vision影響因子(影響力)




書目名稱Computer Vision影響因子(影響力)學科排名




書目名稱Computer Vision網(wǎng)絡公開度




書目名稱Computer Vision網(wǎng)絡公開度學科排名




書目名稱Computer Vision被引頻次




書目名稱Computer Vision被引頻次學科排名




書目名稱Computer Vision年度引用




書目名稱Computer Vision年度引用學科排名




書目名稱Computer Vision讀者反饋




書目名稱Computer Vision讀者反饋學科排名

happiness

Harrowing

The Crisis of French Sea Power, 1688–1697ors theoretically analyzed the convergence of improved Multi-innovation Kalman Filter algorithm. Finally, simulation results show that the improved algorithm Multi- innovation Kalman Filter is superior to the traditional Kalman Filter.

Intruder

The Crisis of French Sea Power, 1688–1697t for next frame according to the occlusion map of current tracking result. Both qualitative and quantitative evaluations on challenging image sequences demonstrate that the proposed tracking algorithm performs favorably against several state-of-the-art methods.

小鹿

Paradoxes of Multiculturalism in Bolivia,ient (HOG)+ Support Vector Machine(SVM)and HSV (Hue, Saturation, Value)+SVM to test the new database and compares these methods with our CNNs model. The results demonstrate the superiority of our CNNs to the other algorithms.

充氣球

The Social Services and the Inner Cityriptor, the IRoPS descriptor includes the local depth information and it has better discriminative power. Extensive experiments are performed to verify the superior performance of the proposed descriptor.

充氣球

https://doi.org/10.1007/978-1-349-16163-8plied to obtain the low-dimensional and discriminative feature vector. We evaluated the proposed method on the real-world face image datasets NUST-RWFR, Pubfig and LFW. In all experiments, DGI achieves competitive results compared with state-of-the-art algorithms.

canonical

expository

The Social Services and the Inner Cityts demonstrate the system can increase the average peak signal-to-noise ratio of jittered videos around 6.12?dB, The subjective experiments demonstrate the system can increase the identification ability and perceptive comfort on video content.

recede

Local Variation Joint Representation for Face Recognition with Single Sample per Person,ns, while the joint and local collaborative representation could effectively use local information of face images. Experiments on the large-scale CMU Multi-PIE and AR databases demonstrate that the proposed LVJR method achieves better results compared with the existing solutions to the single sample per person problem.