Computer Vision and Machine Learning with RGB-D Sensors - Advances in Computer Vision and Pattern Recognition
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Published By Springer International Publishing

9783319086507, 9783319086514

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

RGB-D Human Identification and Tracking in a Smart Environment

Computer Vision and Machine Learning with RGB-D Sensors - Advances in Computer Vision and Pattern Recognition ◽

10.1007/978-3-319-08651-4_10 ◽

2014 ◽

pp. 195-211 ◽

Cited By ~ 1

Author(s):

Jungong Han ◽

Junwei Han

Keyword(s):

Human Identification ◽

Smart Environment

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Learning Fast Hand Pose Recognition

Computer Vision and Machine Learning with RGB-D Sensors - Advances in Computer Vision and Pattern Recognition ◽

10.1007/978-3-319-08651-4_13 ◽

2014 ◽

pp. 267-287

Author(s):

Eyal Krupka ◽

Alon Vinnikov ◽

Ben Klein ◽

Aharon Bar-Hillel ◽

Daniel Freedman ◽

...

Keyword(s):

Pose Recognition ◽

Hand Pose

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3D Depth Cameras in Vision: Benefits and Limitations of the Hardware

Computer Vision and Machine Learning with RGB-D Sensors - Advances in Computer Vision and Pattern Recognition ◽

10.1007/978-3-319-08651-4_1 ◽

2014 ◽

pp. 3-26 ◽

Cited By ~ 13

Author(s):

Achuta Kadambi ◽

Ayush Bhandari ◽

Ramesh Raskar

Keyword(s):

Depth Cameras

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Depth Map Denoising via CDT-Based Joint Bilateral Filter

Computer Vision and Machine Learning with RGB-D Sensors - Advances in Computer Vision and Pattern Recognition ◽

10.1007/978-3-319-08651-4_4 ◽

2014 ◽

pp. 65-89 ◽

Cited By ~ 1

Author(s):

Andreas Koschan ◽

Mongi Abidi

Keyword(s):

Depth Map ◽

Bilateral Filter ◽

Joint Bilateral Filter

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Human Performance Capture Using Multiple Handheld Kinects

Computer Vision and Machine Learning with RGB-D Sensors - Advances in Computer Vision and Pattern Recognition ◽

10.1007/978-3-319-08651-4_5 ◽

2014 ◽

pp. 91-108 ◽

Cited By ~ 2

Author(s):

Yebin Liu ◽

Genzhi Ye ◽

Yangang Wang ◽

Qionghai Dai ◽

Christian Theobalt

Keyword(s):

Human Performance ◽

Performance Capture

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Feature Descriptors for Depth-Based Hand Gesture Recognition

Computer Vision and Machine Learning with RGB-D Sensors - Advances in Computer Vision and Pattern Recognition ◽

10.1007/978-3-319-08651-4_11 ◽

2014 ◽

pp. 215-237 ◽

Cited By ~ 4

Author(s):

Fabio Dominio ◽

Giulio Marin ◽

Mauro Piazza ◽

Pietro Zanuttigh

Keyword(s):

Gesture Recognition ◽

Hand Gesture Recognition ◽

Hand Gesture ◽

Feature Descriptors

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Matching of 3D Objects Based on 3D Curves

Computer Vision and Machine Learning with RGB-D Sensors - Advances in Computer Vision and Pattern Recognition ◽

10.1007/978-3-319-08651-4_7 ◽

2014 ◽

pp. 137-155

Author(s):

Christian Feinen ◽

Joanna Czajkowska ◽

Marcin Grzegorzek ◽

Longin Jan Latecki

Keyword(s):

3D Objects

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Hand Parsing and Gesture Recognition with a Commodity Depth Camera

Computer Vision and Machine Learning with RGB-D Sensors - Advances in Computer Vision and Pattern Recognition ◽

10.1007/978-3-319-08651-4_12 ◽

2014 ◽

pp. 239-265 ◽

Cited By ~ 2

Author(s):

Hui Liang ◽

Junsong Yuan

Keyword(s):

Gesture Recognition ◽

Depth Camera

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Real-Time Hand Gesture Recognition Using RGB-D Sensor

Computer Vision and Machine Learning with RGB-D Sensors - Advances in Computer Vision and Pattern Recognition ◽

10.1007/978-3-319-08651-4_14 ◽

2014 ◽

pp. 289-313 ◽

Cited By ~ 2

Author(s):

Yuan Yao ◽

Fan Zhang ◽

Yun Fu

Keyword(s):

Real Time ◽

Gesture Recognition ◽

Hand Gesture Recognition ◽

Hand Gesture

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A State of the Art Report on Multiple RGB-D Sensor Research and on Publicly Available RGB-D Datasets

Computer Vision and Machine Learning with RGB-D Sensors - Advances in Computer Vision and Pattern Recognition ◽

10.1007/978-3-319-08651-4_2 ◽

2014 ◽

pp. 27-44 ◽

Cited By ~ 4

Author(s):

Kai Berger

Keyword(s):

State Of The Art

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Computer Vision and Machine Learning with RGB-D Sensors - Advances in Computer Vision and Pattern RecognitionLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

RGB-D Human Identification and Tracking in a Smart Environment

Learning Fast Hand Pose Recognition

3D Depth Cameras in Vision: Benefits and Limitations of the Hardware

Depth Map Denoising via CDT-Based Joint Bilateral Filter

Human Performance Capture Using Multiple Handheld Kinects

Feature Descriptors for Depth-Based Hand Gesture Recognition

Matching of 3D Objects Based on 3D Curves

Hand Parsing and Gesture Recognition with a Commodity Depth Camera

Real-Time Hand Gesture Recognition Using RGB-D Sensor

A State of the Art Report on Multiple RGB-D Sensor Research and on Publicly Available RGB-D Datasets

Computer Vision and Machine Learning with RGB-D Sensors - Advances in Computer Vision and Pattern Recognition
Latest Publications