About AMP Lab Projects Downloads Publications People Links Project - 3D Reassembly |
Worked in collaboration with Rahul Sukthankar and Mei Chen at Intel Research Pittsburgh.
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| Motivation and Goal |
3D reassembly, the problem of assembling a broken solid object given a collection of its parts, forms an important component of several real-world applications including molecular biology, archeology and spacecraft post-crash failure-analysis, scenarios for which are depicted below:
Despite its broad applicability, computer-aided 3D reassembly has been relatively under-explored by the computer vision community.
The figure below illustrates a typical instance of the problem where, given a large number of 3D parts, the goal is to identify those that could be assembled to form a previously unknown object (the cube).
At the lowest level, a valid solution must ensure that adjacent parts are locally compatible. At a higher level, one may need to employ domain knowledge to select among multiple candidates that are compatible with a given part.
This work focuses on the former aspect and enables users to interactively specify higher-level preferences. We propose a feature-based approach to determine part compatibility in the context of an interactive 3D reassembly task.
For further details please refer to the publications below.
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D.Parikh, R. Sukthankar, T. Chen, and M. Chen. Feature-based Part Retrieval for Interactive 3D Reassembly. IEEE Workshop on Applications of Computer Vision (WACV), 2007 [poster presentation]
Talk (final summer internship presentation) at Intel Research Pittsburgh, September 2006.
Any suggestions or comments are welcome. Please send them to Devi Parikh.
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