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» Using Scene Constraints during the Calibration Procedure
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IROS
2007
IEEE
144views Robotics» more  IROS 2007»
14 years 1 months ago
Faster and more accurate face detection on mobile robots using geometric constraints
— We develop a framework to allow generic object detection algorithms to exploit geometric information commonly available to robot vision systems. Robot systems take pictures wit...
Michael Dixon, Frederick Heckel, Robert Pless, Wil...
HUMO
2007
Springer
14 years 1 months ago
Multi Person Tracking Within Crowded Scenes
This paper presents a solution to the problem of tracking people within crowded scenes. The aim is to maintain individual object identity through a crowded scene which contains com...
Andrew Gilbert, Richard Bowden
CISST
2004
181views Hardware» more  CISST 2004»
13 years 8 months ago
Intrinsic Camera Calibration Based on Radical Center Estimation
Camera calibration is an important step in obtaining 3D information from 2D images. Generally camera parameters can be obtained by using traditional methods if a calibration object...
Dong Hoon Lee, Kyung Ho Jang, Soon Ki Jung
ICRA
2008
IEEE
161views Robotics» more  ICRA 2008»
14 years 1 months ago
Accurate calibration of intrinsic camera parameters by observing parallel light pairs
— This study describes a method of estimating the intrinsic parameters of a perspective camera. In previous calibration methods for perspective cameras, the intrinsic and extrins...
Ryusuke Sagawa, Yasushi Yagi
JMIV
2000
141views more  JMIV 2000»
13 years 7 months ago
Critical Motions for Auto-Calibration When Some Intrinsic Parameters Can Vary
Auto-calibration is the recovery of the full camera geometry and Euclidean scene structure from several images of an unknown 3D scene, using rigidity constraints and partial knowl...
Fredrik Kahl, Bill Triggs, Kalle Åström