Titlebook: Computer Vision -- ECCV 2012. Workshops and Demonstrations; Florence, Italy, Oct Andrea Fusiello,Vittorio Murino,Rita Cucchiara Conference

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書目名稱Computer Vision -- ECCV 2012. Workshops and Demonstrations影響因子(影響力)




書目名稱Computer Vision -- ECCV 2012. Workshops and Demonstrations影響因子(影響力)學(xué)科排名




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書目名稱Computer Vision -- ECCV 2012. Workshops and Demonstrations網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Computer Vision -- ECCV 2012. Workshops and Demonstrations被引頻次




書目名稱Computer Vision -- ECCV 2012. Workshops and Demonstrations被引頻次學(xué)科排名




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書目名稱Computer Vision -- ECCV 2012. Workshops and Demonstrations年度引用學(xué)科排名




書目名稱Computer Vision -- ECCV 2012. Workshops and Demonstrations讀者反饋




書目名稱Computer Vision -- ECCV 2012. Workshops and Demonstrations讀者反饋學(xué)科排名

友好關(guān)系

3D Object Detection with Multiple Kinectss and object detection on color images, respectively. To evaluate the benefit of joining color and depth information of multiple cameras, we recorded a novel dataset with four Kinects showing significant improvements over a DPM baseline for 9 object classes aggregated in challenging scenes. In contr

針葉

An Improved Stereo Matching Algorithm with Ground Plane and Temporal Smoothness Constraintsparity maps under severe challenges and low texture distribution, improving scene analyses for surveillance related applications. Although improvements are illustrated for a specific local stereo matching algorithm, the presented specifications and modifications can be applied for the other similar

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Computer Vision -- ECCV 2012. Workshops and DemonstrationsFlorence, Italy, Oct

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The 2 + 4 Varieties of Capitalist Systemss and object detection on color images, respectively. To evaluate the benefit of joining color and depth information of multiple cameras, we recorded a novel dataset with four Kinects showing significant improvements over a DPM baseline for 9 object classes aggregated in challenging scenes. In contr

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Ultrasonic Diagnosis of Gastric Cancerlysis shows that the nose is the most stable component during face aging. Age invariant recognition exploiting demographics shows that face aging has more influence on females than males. Overall, recognition performance on the two databases shows that the proposed component based approach is more r

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