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» Estimating Camera Motion through a 3D Cluttered Scene
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ICRA
2003
IEEE
169views Robotics» more  ICRA 2003»
14 years 29 days ago
Robust model-based 3D object recognition by combining feature matching with tracking
− We propose a vision based 3D object recognition and tracking system, which provides high level scene descriptions such as object identification and 3D pose information. The sys...
Sungho Kim, In-So Kweon, Incheol Kim
ACCV
2006
Springer
13 years 11 months ago
Self-calibration Based 3D Information Extraction and Application in Broadcast Soccer Video
This paper proposes a new method based on self-calibration to estimate the ball's 3D position in broadcast soccer video. According to the physical limitation, the ball's ...
Yang Liu, Dawei Liang, Qingming Huang, Wen Gao
BMVC
2010
13 years 5 months ago
Inferring Image Transformation and Structure from Motion-Blurred Images
This paper deals with the problem of estimating structure of 3D scenes and image transformations from observations that are blurred due to unconstrained camera motion. Initially, ...
Paramanand Chandramouli, Rajagopalan Ambasamudram
CVPR
2007
IEEE
14 years 9 months ago
Integration of Motion Cues in Optical and Sonar Videos for 3-D Positioning
Target-based positioning and 3-D target reconstruction are critical capabilities in deploying submersible platforms for a range of underwater applications, e.g., search and inspec...
Shahriar Negahdaripour, Hamed Pirsiavash, Hicham S...
IWCM
2004
Springer
14 years 1 months ago
Towards a Multi-camera Generalization of Brightness Constancy
Standard optical flow methods for motion or disparity estimation use a brightness constancy constraint equation (BCCE). This BCCE either handles a moving camera imaging a non-movi...
Hanno Scharr