3-D Object Modeling by a Camera Mounted on a Mobile Robot

This paper describes 3-D shape modeling performed by a mobile robot. We propose a method in which the robot in the real environment acquires the accurate shape and constructs a 3-D model of an object using Computer Vision techniques under the condition that position and shape of the object is unknown. A 3-D model is reconstructed from image streams which are captured by a camera mounted on the robot. The experimental results show the effectiveness of our method.

[1]  Takeo Kanade,et al.  A Multiple-Baseline Stereo , 1993, IEEE Trans. Pattern Anal. Mach. Intell..

[2]  Rachid Deriche,et al.  A Robust Technique for Matching two Uncalibrated Images Through the Recovery of the Unknown Epipolar Geometry , 1995, Artif. Intell..

[3]  Takeo Kanade,et al.  Shape and motion from image streams under orthography: a factorization method , 1992, International Journal of Computer Vision.

[4]  Nader Bagherzadeh,et al.  CARVING 3D MODELS FROM UNCALIBRATED VIEWS , 2002 .

[5]  Naokazu Yokoya,et al.  Dense 3-D Reconstruction of an Outdoor Scene by Hundreds-Baseline Stereo Using a Hand-Held Video Camera , 2004, International Journal of Computer Vision.

[6]  Masahiro Tomono,et al.  Indoor navigation based on an inaccurate map using object recognition , 2002, IEEE/RSJ International Conference on Intelligent Robots and Systems.

[7]  Kiriakos N. Kutulakos,et al.  A Theory of Shape by Space Carving , 2000, International Journal of Computer Vision.

[8]  Takeo Kanade,et al.  A Paraperspective Factorization Method for Shape and Motion Recovery , 1994, IEEE Trans. Pattern Anal. Mach. Intell..

[9]  Robert C. Bolles,et al.  Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography , 1981, CACM.

[10]  Carlo Tomasi,et al.  Good features to track , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

[11]  Kurt Konolige,et al.  Visually Realistic Mapping of a Planar Environment with Stereo , 2000, ISER.