Journal Article10.1016/0360-8352(92)90003-3
Object pose determination from range data
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TL;DR: In this article, an algorithm is presented which uses an enclosing object and the central moments for an initial estimate of pose and a refined estimation is obtained by a nonlinear least squares technique.
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About: This article is published in Computers & Industrial Engineering. The article was published on 01 Jul 1992. The article focuses on the topics: 3D pose estimation & Pose.
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Citations
Statistical issues in geometric feature inspection using coordinate measuring machines
TL;DR: In this article, the authors describe current practices for assessing geometric feature conformance to tolerance using coordinate measuring machines (CMM) data and discuss statistical problems involved in the inspection process.
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Real-time part position sensing
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A stratified sampling model in spherical feature inspection using coordinate measuring machines
TL;DR: In this paper, a linear model for a stratified sampling scheme, which is one of the most commonly discussed in the CMM literature, in fitting a spherical surface is given and its property is studied.
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Parametric-Based Determination of Cylindrical Variations in Geometric Tolerancing
TL;DR: In this article, a statistically-based technique for the determination of the type of surface variation for cylindrical parts is presented, based on a parametric-based part representation used for fitting.
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Geometric tolerance verification using superquadrics
TL;DR: This work presents a statistically-based technique using jackknifing for geometric tolerance verification that is constructed for the superquadric parametric model representation, but is applicable to any parametric representation.
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Multiresolution elastic matching
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TL;DR: Results show that all normal brains, at least at a certain level of representation, have the same topological structure, but may differ in shape details, and the matching process can account for these differences.
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Three-dimensional object recognition
Paul J. Besl,Ramesh Jain +1 more
TL;DR: In this paper, a precise definition of the 3D object recognition problem is proposed, and basic concepts associated with this problem are discussed, and a review of relevant literature is provided.
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Superquadrics and Angle-Preserving Transformations
TL;DR: A new and powerful family of parametric shapes is introduced that extends the basic quadric surfaces and solids, yielding a variety of useful forms.
Automatic Synthesis of Fine-Motion Strategies for Robots
TL;DR: A formal approach to the synthesis of compliant-motion strategies from geometric descriptions of assembly operations and explicit estimates of errors in sensing and control is described.