@inproceedings{675efb7b86e547d5b83296c03f5242a1,
title = "Object rigidity and reflectivity identification based on motion analysis",
abstract = "Rigidity and reflectivity are important properties of objects, identifying these properties is a fundamental problem for many computer vision applications like motion and tracking. In this paper, we extend our previous work to propose a motion analysis based approach for detecting the object's rigidity and reflectivity. This approach consists of two steps. The first step aims to identify object rigidity based on motion estimation and optic flow matching. The second step is to classify specular rigid and diffuse rigid objects using structure from motion and Procrustes analysis. We show how rigid bodies can be detected without knowing any prior motion information by using a mutual information based matching method. In addition, we use a statistic way to set thresholds for rigidity classification. Presented results demonstrate that our approach can efficiently classify the rigidity and reflectivity of an object.",
keywords = "Mutual information, Optic flow, Reflectivity, Rigidity",
author = "Di Zang and Schrater, {Paul R} and Katja Doerschner",
year = "2010",
doi = "10.1109/ICIP.2010.5652288",
language = "English (US)",
isbn = "9781424479948",
series = "Proceedings - International Conference on Image Processing, ICIP",
pages = "4573--4576",
booktitle = "2010 IEEE International Conference on Image Processing, ICIP 2010 - Proceedings",
note = "2010 17th IEEE International Conference on Image Processing, ICIP 2010 ; Conference date: 26-09-2010 Through 29-09-2010",
}