Regularization-Based 3-D Object Modeling from Multiple Range Images

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Venue:
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
Year:
1998

Citing 3
Cited 1

Visual reconstruction

Visual reconstruction
3-D multiview object representation for model-based object recognition

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Parallel and Deterministic Algorithms from MRFs: Surface Reconstruction

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Object Identification and Pose Estimation for Automatic Manipulation

RobVis '01 Proceedings of the International Workshop on Robot Vision

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Abstract

Several methods have been proposed for building 3-D object models from multiple range images mainly on the basis of the deformable models and pseudo-dynamics. However, the patches are usually placed crossing over the edge regions, and the surface orientation discontinuities cannot be properly preserved as a result. This paper proposes a new 3-D object modeling method that generates refined triangular meshes while preserving the surface discontinuities. We formulate the process into a problem of minimizing an energy functional by using the idea of line processes and MRFs. Moreover, we show that next-to-optimal solutions can be obtained by utilizing a continuation method.