Paper
12 December 2003 Composite filters for search time reduction for 3D-model-based object recognition
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Abstract
This paper investigates the role of composite filters in reducing the search time for 3D model based object recognition. When one moves from 2D to 3D, one is faced with a huge amount of information to deal with. The composite filter combined with a multistage scheme is developed for processing this huge information. The design scheme for the composite filters is also elaborated. The procedures discussed in this paper demonstrate how detection of these various model images might help formulate a new metric for recognition performance.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mahbuba Rahman, Abdul Ahad Sami Awwal, and Karl S. Gudmundsson "Composite filters for search time reduction for 3D-model-based object recognition", Proc. SPIE 5201, Photonic Devices and Algorithms for Computing V, (12 December 2003); https://doi.org/10.1117/12.508655
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CITATIONS
Cited by 6 scholarly publications.
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KEYWORDS
Image filtering

Composites

Phase only filters

3D modeling

Neodymium

Fourier transforms

Object recognition

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