2023 - Research.com Computer Science in China Leader Award
Zhengyou Zhang spends much of his time researching Artificial intelligence, Computer vision, Epipolar geometry, Fundamental matrix and Pattern recognition. His studies link Machine learning with Artificial intelligence. His Computer vision study frequently links to adjacent areas such as Point.
As part of the same scientific family, Zhengyou Zhang usually focuses on Fundamental matrix, concentrating on Iterative reconstruction and intersecting with Cardinal point. The various areas that Zhengyou Zhang examines in his Camera resectioning study include Image sensor and Plane. His Image sensor research incorporates elements of Reprojection error and Direct linear transformation.
Zhengyou Zhang mostly deals with Artificial intelligence, Computer vision, Computer graphics, Speech recognition and Multimedia. His Artificial intelligence research is multidisciplinary, relying on both Machine learning and Pattern recognition. His Computer vision study is mostly concerned with Image processing, Epipolar geometry, Line segment, Feature and Object.
His Computer graphics study combines topics in areas such as Whiteboard and Video camera. The Speech recognition study combines topics in areas such as Acoustic source localization, Speech enhancement and Microphone. His Multimedia research includes themes of Session and Human–computer interaction.
Artificial intelligence, Computer vision, Machine learning, Eye tracking and Human–computer interaction are his primary areas of study. Zhengyou Zhang regularly ties together related areas like Pattern recognition in his Artificial intelligence studies. He integrates many fields, such as Computer vision and Displacement, in his works.
In the subject of general Machine learning, his work in Leverage, Ranking and Binary classification is often linked to Rank, thereby combining diverse domains of study. His Eye tracking study incorporates themes from Cross-ratio, Tracking system and Gaze. His study in Human–computer interaction is interdisciplinary in nature, drawing from both Multimedia, Gesture and Implementation.
His primary scientific interests are in Artificial intelligence, Machine learning, Computer vision, Speech recognition and Eye tracking. As a part of the same scientific family, Zhengyou Zhang mostly works in the field of Artificial intelligence, focusing on Pattern recognition and, on occasion, Subspace topology. His work in the fields of Machine learning, such as Binary classification and Ranking, overlaps with other areas such as Set and Rank.
Zhengyou Zhang has included themes like Perspective and Component in his Computer vision study. His Speech recognition research incorporates themes from Sound localization and Headset. Zhengyou Zhang combines subjects such as Gaze, Rendering, Immersive technology, User studies and Gesture with his study of Eye tracking.
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A flexible new technique for camera calibration
IEEE Transactions on Pattern Analysis and Machine Intelligence (2000)
Flexible camera calibration by viewing a plane from unknown orientations
international conference on computer vision (1999)
Iterative point matching for registration of free-form curves and surfaces
International Journal of Computer Vision (1994)
Microsoft Kinect Sensor and Its Effect
IEEE MultiMedia (2012)
A robust technique for matching two uncalibrated images through the recovery of the unknown epipolar geometry
Zhengyou Zhang;Rachid Deriche;Olivier Faugeras;Quang-Tuan Luong.
Artificial Intelligence (1995)
Determining the Epipolar Geometry and its Uncertainty: A Review
International Journal of Computer Vision (1998)
Chen-Yu Lee;Saining Xie;Patrick W. Gallagher;Zhengyou Zhang.
international conference on artificial intelligence and statistics (2015)
Action recognition based on a bag of 3D points
Wanqing Li;Zhengyou Zhang;Zicheng Liu.
computer vision and pattern recognition (2010)
Parameter estimation techniques: a tutorial with application to conic fitting
Image and Vision Computing (1997)
Camera calibration with one-dimensional objects
IEEE Transactions on Pattern Analysis and Machine Intelligence (2004)
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