Rapid inference of object rigidity and reflectance using optic flow
Author
Zang, D.
Doerschner, Katja
Schrater P.R.
Date
2009Source Title
Computer Analysis of Images and Patterns
Print ISSN
0302-9743
Publisher
Springer, Berlin, Heidelberg
Volume
5702
Pages
881 - 888
Language
English
Type
Conference PaperItem Usage Stats
198
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views
167
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downloads
Abstract
Rigidity and reflectance are key object properties, important in their own rights, and they are key properties that stratify motion reconstruction algorithms. However, the inference of rigidity and reflectance are both difficult without additional information about the object's shape, the environment, or lighting. For humans, relative motions of object and observer provides rich information about object shape, rigidity, and reflectivity. We show that it is possible to detect rigid object motion for both specular and diffuse reflective surfaces using only optic flow, and that flow can distinguish specular and diffuse motion for rigid objects. Unlike nonrigid objects, optic flow fields for rigid moving surfaces are constrained by a global transformation, which can be detected using an optic flow matching procedure across time. In addition, using a Procrustes analysis of structure from motion reconstructed 3D points, we show how to classify specular from diffuse surfaces. © 2009 Springer Berlin Heidelberg.
Keywords
Optic flowReflectance classification
Rigidity detection
Specular motion
Across time
Diffuse surfaces
Global transformation
Key object
Motion reconstruction
Moving surfaces
Non-rigid objects
Object shape
Optic flow
Procrustes analysis
Reflectance classification
Reflective surfaces
Relative motion
Rigid objects
Specular motion
Structure from motion
Image analysis
Reflection
Rigidity
Three dimensional
Permalink
http://hdl.handle.net/11693/26732Published Version (Please cite this version)
http://dx.doi.org/10.1007/978-3-642-03767-2_107https://doi.org/10.1007/978-3-642-03767-2
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