Paper Info
Title
Embedding visual cognition in 3D reconstruction from multi-view engineering drawings
Abstract
In this paper we discuss how to reconstruct 3D models from multi-view engineering draws by employing human engineers’ approaches. Human's ‘divide and conquer’ interpretation strategy in visual cognition is simulated, and successfully carried out on the basis of spatial division of 3D object space. At first, a volume-oriented method is utilized to decompose the 3D object space in a set of 3D ‘cell-boxes’ whose three-view bounding rectangles will isolate its related sub-projections from input projections views, and in every cell-box a cell primitive is implied. Then, a 3D model of each cell primitive is ‘locally’ generated from its ‘sub-projection’ views by wire-frame oriented algorithms. The final interpretation result of the overall projection-views is a ‘Union’ of these cell primitives. To deal with the ambiguity, a visual reasoning engine is implemented on the basis of principles from Gestalt psychology. It will be activated to pick out the most reasonable interpretation, when ambiguities are generated during the reconstruction process. The section views are also incorporated in getting rid of the ambiguity. Moreover, we design a natural and convenient interaction way to encourage the user to be involved in the process while interpreting complex projections. The key steps of this human-like reconstruction approach are presented in detail.
Year
DOI
Venue
2002
10.1016/S0010-4485(01)00092-6
Computer-Aided Design
Keywords
Field
DocType
Interpretation of engineering drawings,3D reconstruction from multi-projections,Visual cognition
Embedding,Visual reasoning,Computer Aided Design,Gestalt psychology,Artificial intelligence,Divide and conquer algorithms,Ambiguity,Mathematics,3D reconstruction,Bounding overwatch
Journal
Volume
Issue
ISSN
34
4
0010-4485
Citations 
PageRank 
References 
9
0.68
9
Authors
3
Name
Order
Citations
PageRank
Weidong Geng116221.81
Jingbin Wang247220.56
Yiyang Zhang31718.77