Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6941782 | Signal Processing: Image Communication | 2016 | 29 Pages |
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.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
Seungkyu Lee, Jungjun Kim, Hwasup Lim, Sang Chul Ahn,