Titlebook: Computer Vision – ACCV 2016 Workshops; ACCV 2016 Internatio Chu-Song Chen,Jiwen Lu,Kai-Kuang Ma Conference proceedings 2017 Springer Intern

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書目名稱Computer Vision – ACCV 2016 Workshops影響因子(影響力)




書目名稱Computer Vision – ACCV 2016 Workshops影響因子(影響力)學(xué)科排名




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書目名稱Computer Vision – ACCV 2016 Workshops被引頻次學(xué)科排名




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書目名稱Computer Vision – ACCV 2016 Workshops年度引用學(xué)科排名




書目名稱Computer Vision – ACCV 2016 Workshops讀者反饋




書目名稱Computer Vision – ACCV 2016 Workshops讀者反饋學(xué)科排名

Obituary

ABOUT

https://doi.org/10.1007/978-3-642-45461-5 a new promising device is available, which will – most probably – be used in many future research. In this paper, we present a systematic comparison of the Kinect v1 and Kinect v2. We investigate the accuracy and precision of the devices for their usage in the context of 3D reconstruction, SLAM or

集中營

https://doi.org/10.1007/978-3-642-45461-5location imprecision of image LSs, it often produces many erroneous reconstructions when reconstructing 3D LSs by triangulating corresponding LSs from two images. We propose to solve this problem by first recovering space planes and then back-projecting image LSs onto the recovered space planes to g

起草

observatory

The Neurochemical Effects of Lead,ble to generate superpixel by using RGB or LaB features. To tackle this scenario, we propose a superpixel generation algorithm solely on depth image. We aim the semantically-incoherent superpixel problem on depth image, caused by identical depth value in the vicinity of the border. Our algorithm is

observatory

Marc S. Schwartz,Kurt W. Fischerroblem. In this paper, a non-parametric method is adopted to obtain the depth of a single image. To this end, RGB-D datasets are exploited as the inference basis. Given a query image, a global scene-level retrieval is performed against the dataset, followed by a superpixel-level matching. The superp

載貨清單

結(jié)構(gòu)

BRUNT

Marc S. Schwartz,Kurt W. Fischernding the principles from the ED algorithm, a fast and robust edge detector able to produce one pixel-wide chains of pixels for the edges in the image. In this paper the ED algorithm is extended to run simultaneously on both images in a stereo-pair. The disparity information is obtained by matching