Sing Bing Kang mainly investigates Artificial intelligence, Computer vision, Computer graphics, Pixel and Rendering. His study in Segmentation, Object, Image restoration, Computer stereo vision and Image based is carried out as part of his studies in Artificial intelligence. Image processing, Iterative reconstruction, Stereoscopy, Camera resectioning and Image are subfields of Computer vision in which his conducts study.
Sing Bing Kang has researched Computer graphics in several fields, including 3D reconstruction, Tracking, Catadioptric system and Face. His Pixel research includes themes of High dynamic range, Dynamic range and Radiance. His research in Image-based modeling and rendering intersects with topics in Alternate frame rendering, 3D rendering and Real-time rendering.
His primary areas of study are Artificial intelligence, Computer vision, Computer graphics, Pixel and Image. His study in Artificial intelligence focuses on Segmentation, Image processing, Image restoration, Motion estimation and Object. As a member of one scientific family, Sing Bing Kang mostly works in the field of Object, focusing on GRASP and, on occasion, Robot.
Image-based modeling and rendering, Iterative reconstruction, Motion, Depth map and Image segmentation are among the areas of Computer vision where Sing Bing Kang concentrates his study. His Computer graphics study incorporates themes from Video tracking and Video compression picture types. His Rendering research is multidisciplinary, relying on both Video post-processing and 3D reconstruction.
His primary scientific interests are in Artificial intelligence, Computer vision, Image, Visualization and Motion. His work carried out in the field of Artificial intelligence brings together such families of science as Metric and Pattern recognition. Computer vision is a component of his Rotation, Pixel, Image quality, Light field and Projector studies.
His Image research integrates issues from Mode, Structure, Selection and Video sequence. His study looks at the intersection of Visualization and topics like Stereoscopy with Partition, Concentric, Sequence and Panorama. The Motion study combines topics in areas such as Smoothing, Image stabilization and Sample.
Sing Bing Kang focuses on Computer vision, Artificial intelligence, Computer graphics, Stereo camera and Image stabilization. His biological study spans a wide range of topics, including Sketch and Painting. Many of his studies on Artificial intelligence involve topics that are commonly interrelated, such as Metric.
In his work, Resolution, Light intensity, Stereo cameras and Image processing is strongly intertwined with Projector, which is a subfield of Computer graphics. Sing Bing Kang usually deals with Stereo camera and limits it to topics linked to Filter and Light-emitting diode and Active illumination. Sing Bing Kang studied Image stabilization and Smoothing that intersect with Rotation.
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High-quality video view interpolation using a layered representation
C. Lawrence Zitnick;Sing Bing Kang;Matthew Uyttendaele;Simon Winder.
international conference on computer graphics and interactive techniques (2004)
High dynamic range video
Sing Bing Kang;Matthew Uyttendaele;Simon Winder;Richard Szeliski.
international conference on computer graphics and interactive techniques (2003)
Automatic Estimation and Removal of Noise from a Single Image
Ce Liu;R. Szeliski;Sing Bing Kang;C.L. Zitnick.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2008)
Symmetric stereo matching for occlusion handling
Jian Sun;Yin Li;S.B. Kang;Heung-Yeung Shum.
computer vision and pattern recognition (2005)
Hands-free interface to a virtual reality environment using head tracking
Sing Bing Kang.
Review of image-based rendering techniques
Harry Shum;Sing Bing Kang.
visual communications and image processing (2000)
Recovering 3D shape and motion from image streams using nonlinear least squares
Richard Szeliski;Sing Bing Kang.
Journal of Visual Communication and Image Representation (1994)
Registration and integration of textured 3D data
Andrew Edie Johnson;Sing Bing Kang.
Image and Vision Computing (1999)
Stereoscopic image display
Gary K. Starkweather;Michael J. Sinclair;Sing Bing Kang.
Handling occlusions in dense multi-view stereo
Sing Bing Kang;R. Szeliski;Jinxiang Chai.
computer vision and pattern recognition (2001)
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