Surface reflectance estimation and segmentation from single depth image of ToF camera

Title
Surface reflectance estimation and segmentation from single depth image of ToF camera
Authors
안상철임화섭이승규김정준
Issue Date
2016-09
Publisher
Signal processing, Image communication
Citation
VOL 47, NO S1-462
Abstract
Objects in real world can be characterized not just by their shape and color but also by their material characteristic. Estimating surface reflectance of an arbitrary object can play a critical role in object characterization, recognition and realistic reconstruction. We propose a reflectance estimation and segmentation method from single depth image taken by a consumer time of flight (ToF) depth camera. Surface points are grouped and segmented based on the similarity of their estimated reflectance. Experimental results show that our estimated surface reflectance provides better discrimination of different material surfaces. Moreover, reconstructed 3D model of an object can be visualized better with realistic interaction with light source based on the obtained reflectance.
URI
http://pubs.kist.re.kr/handle/201004/65195
ISSN
0923-5965
Appears in Collections:
KIST Publication > Article
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