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Spherical image-based visual servo and structure estimation

Peter Corke

发表年份
2010
引用次数
34

摘要

This paper presents a formulation of image-based visual servoing (IBVS) for a spherical camera where coordinates are parameterized in terms of colatitude and longitude: IBVS-Sph. The image Jacobian is derived and simulation results are presented for canonical rotational, translational as well as general motion. Problems with large rotations that affect the planar perspective form of IBVS are not present on the sphere, whereas the desirable robustness properties of IBVS are shown to be retained. We also describe a structure from motion (SfM) system based on camera-centric spherical coordinates and show how a recursive estimator can be used to recover structure. The spherical formulations for IBVS and SfM are particularly suitable for platforms, such as aerial and underwater robots, that move in SE(3).

关键词

Visual servoingJacobian matrix and determinantComputer visionArtificial intelligenceRobustness (evolution)Spherical coordinate systemComputer scienceMathematicsServoRobot

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