Titlebook: Computer Vision and Machine Learning with RGB-D Sensors; Ling Shao,Jungong Han,Zhengyou Zhang Book 2014 Springer International Publishing

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書目名稱Computer Vision and Machine Learning with RGB-D Sensors影響因子(影響力)




書目名稱Computer Vision and Machine Learning with RGB-D Sensors影響因子(影響力)學科排名




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書目名稱Computer Vision and Machine Learning with RGB-D Sensors被引頻次




書目名稱Computer Vision and Machine Learning with RGB-D Sensors被引頻次學科排名




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Arteriography

Calibration Between Depth and Color Sensors for Commodity Depth Camerasation information between the color and the depth cameras. Traditional checkerboard-based calibration schemes fail to work well for the depth camera, since its corner features cannot be reliably detected in the depth image. In this chapter, we present a maximum likelihood solution for the joint dept

字謎游戲

semiskilled

Human Performance Capture Using Multiple Handheld Kinects. The reconstructed 3D performance can be used for character animation and free-viewpoint video. While most of the available performance capture approaches rely on a 3D video studio with tens of RGB cameras, this chapter presents a method for marker-less performance capture of single or multiple hum

切碎

一致性

Matching of 3D Objects Based on 3D Curvesh device (RGB-D). Our processing pipeline consists of several steps. In the preprocessing step, we first detect edges in the depth image and merge them to 2D object curves which allows a back-projection to 3D space. Then, we estimate a local coordinate system for these 3D curves. In the next step, d

一致性

Forehead-Lift

采納

Euthyroid