Open Access
An object-centered three-dimensional model builder
Clayton Albert Dane
- 01 Jan 1982
24
TL;DR: A method of building a three-dimensional model of a rigid object using information from many views is described, and a model using surface primitives appears as a natural first step in describing an object because surfaces are obvious visual features.
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Abstract: A method of building a three-dimensional model of a rigid object using information from many views is described. Planar and quadric surface primitives describe the object's surface in an object-centered reference frame. The extent of a primitive is defined by the intersection of the primitive with its neighbors. An edge graph defined by these intersections implicitly expresses spatial relationships between surface primitives.
The model builder's input consists of groups of data points corresponding to different views. Each data point contains spatial and orientation information about the object's surface at a discrete location. A set of registered arrays is used to summarize input information in local areas. Mathematical principles from differential geometry are applied to determine local surface properties. A region-growing technique is applied to this information to identify data points which then are represented by a surface primitive. Edges and corners are computed based on the intersections of surface primitives. The results from the analysis of the various views are transformed to a common, arbitrary reference frame for integration into a global model. The final object-centered reference frame is established based on the center of gravity and moments of inertia of the object as determined from the complete model.
The goal of model building has applications in the fields of pattern recognition, computer vision, robotics, computer-aided design and computer-aided manufacturing. A model using surface primitives appears as a natural first step in describing an object because surfaces are obvious visual features. The strengths and weaknesses of this surface model are explored.
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Citations
Segmentation through variable-order surface fitting
Paul J. Besl,Ramesh Jain +1 more
TL;DR: A piecewise-smooth surface model for image data that possesses surface coherence properties is used to develop an algorithm that simultaneously segments a large class of images into regions of arbitrary shape and approximates image data with bivariate functions so that it is possible to compute a complete, noiseless image reconstruction based on the extracted functions and regions.
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.
1.2K
•Proceedings Article
A 3-D recognition and positioning algorithm using geometrical matching between primitive surfaces
O. D. Faugeras,M. Hebert +1 more
- 08 Aug 1983
TL;DR: An efficient algorithm for 3-0 scene analysis that uses a segmentation of the surfaces to identified into geometrical primitives, the original data being obtained by a laser range finder.
•Proceedings Article
Object recognition using three-dimensional information
Masaki Oshima,Yoshiaki Shirai +1 more
- 24 Aug 1981
TL;DR: This paper describes an approach to the recognition of stacked objects with planar and curved surfaces by a combination of data-driven and model-driven search processes.
282
•Book
Invariant Visual Object and Face Recognition: Neural and Computational Bases, and a Model, VisNet
Edmund T. Rolls
- 15 May 2015
TL;DR: A feature hierarchy model in which invariant representations can be built by self-organizing learning based on the temporal and spatial statistics of the visual input produced by objects as they transform in the world is described.
175
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