Abstract
This paper proposes a noncontact active vision technique that analyzes the reflection pattern of infrared light to estimate the object material according to the degree of surface smoothness (or roughness). To obtain the surface micro structural details and the surface orientation information of a free-form 3D object, the system employs only a time-of-flight range camera. It measures reflection intensity patterns with respect to surface orientation for various material objects. Then it classifies these patterns by Random Forest (RF) classifier to identify the candidate of material of reflected surface. We demonstrate the efficiency of the method through experiments by using several household objects under normal illuminating condition. Our main objective is to introduce material information in addition to color, shape and other attributes to recognize target objects more robustly in the interactive object recognition framework.
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Mannan, M.A., Fukuda, H., Kobayashi, Y., Kuno, Y. (2011). Material Information Acquisition Using a ToF Range Sensor for Interactive Object Recognition. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2011. Lecture Notes in Computer Science, vol 6939. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24031-7_12
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DOI: https://doi.org/10.1007/978-3-642-24031-7_12
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