Ruigang Yang spends much of his time researching Artificial intelligence, Computer vision, Pixel, Stereopsis and Computer graphics. His research is interdisciplinary, bridging the disciplines of Machine learning and Artificial intelligence. Ruigang Yang has included themes like Computer graphics, Benchmark and Pattern recognition in his Computer vision study.
Ruigang Yang interconnects Depth map, Digital image, Image fusion and Image warping in the investigation of issues within Pixel. His research investigates the link between Stereopsis and topics such as Weighting that cross with problems in Vector processor and Dynamic programming. The various areas that he examines in his Computer graphics study include Face model, Projector, Videoconferencing and Video image.
Ruigang Yang mostly deals with Artificial intelligence, Computer vision, Computer graphics, Point cloud and Pixel. Ruigang Yang works mostly in the field of Artificial intelligence, limiting it down to topics relating to Pattern recognition and, in certain cases, Face, as a part of the same area of interest. His research integrates issues of Frame and Computer graphics in his study of Computer vision.
His Computer graphics research is multidisciplinary, incorporating elements of Projector and Videoconferencing. His Point cloud research includes themes of Matching, Lidar and Object detection. His study in Pixel is interdisciplinary in nature, drawing from both Algorithm and Convolutional neural network.
Artificial intelligence, Computer vision, Point cloud, Position and Obstacle are his primary areas of study. His research on Artificial intelligence often connects related areas such as Pattern recognition. His Pattern recognition research is multidisciplinary, relying on both Artificial neural network and Face.
Ruigang Yang combines subjects such as Discriminative model and Feature learning with his study of Computer vision. His Point cloud research incorporates elements of Frame, Lidar, Ground truth and Object detection. His Pixel study combines topics from a wide range of disciplines, such as Depth map, Algorithm, Convolutional neural network and Kernel.
His primary areas of investigation include Artificial intelligence, Computer vision, Point cloud, Object detection and Algorithm. His biological study spans a wide range of topics, including Machine learning and Pattern recognition. His Computer vision research is multidisciplinary, incorporating elements of Robot, Discriminative model and Flexibility.
His Discriminative model course of study focuses on Image and Pixel. His Point cloud research integrates issues from Frame, Lidar and Pose. His Algorithm study integrates concerns from other disciplines, such as End-to-end principle, Block and Matching.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Detailed Real-Time Urban 3D Reconstruction from Video
M. Pollefeys;D. Nistér;J. M. Frahm;A. Akbarzadeh.
International Journal of Computer Vision (2008)
Spatial-Depth Super Resolution for Range Images
Qingxiong Yang;Ruigang Yang;J. Davis;D. Nister.
computer vision and pattern recognition (2007)
Stereo Matching with Color-Weighted Correlation, Hierarchical Belief Propagation, and Occlusion Handling
Qingxiong Yang;Liang Wang;Ruigang Yang;H. Stewenius.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2009)
Using oligonucleotide probe arrays to access genetic diversity
R. J. Lipshutz;D. Morris;M. Chee;E. Hubbell.
Role of miR-143 targeting KRAS in colorectal tumorigenesis
X. Chen;X. Guo;H. Zhang;H. Zhang;Y. Xiang.
Multi-projector displays using camera-based registration
R. Raskar;M.S. Brown;Ruigang Yang;Wei-Chao Chen.
ieee visualization (1999)
Novel method to extract large amounts of bacteriocins from lactic acid bacteria.
R Yang;M C Johnson;B Ray.
Applied and Environmental Microbiology (1992)
Real-Time Visibility-Based Fusion of Depth Maps
P. Merrell;A. Akbarzadeh;Liang Wang;P. Mordohai.
international conference on computer vision (2007)
Multi-resolution real-time stereo on commodity graphics hardware
Ruigang Yang;M. Pollefeys.
computer vision and pattern recognition (2003)
High-Quality Real-Time Stereo Using Adaptive Cost Aggregation and Dynamic Programming
Liang Wang;Miao Liao;Minglun Gong;Ruigang Yang.
international symposium on 3d data processing visualization and transmission (2006)
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