Abstract
Time-of-flight (ToF) depth cameras have widely been used in many applications such as 3D imaging, 3D reconstruction, human interaction and robot navigation. However, conventional depth cameras are incapable of imaging a translucent object which occupies a substantial portion of a real world scene. Such a limitation prohibits realistic imaging using depth cameras. In this work, we propose a new skewed stereo ToF camera for detecting and imaging translucent objects under minimal prior of environment. We find that the depth calculation of a ToF camera with a translucent object presents a systematic distortion due to the superposed reflected light ray observation from multiple surfaces. We propose to use a stereo ToF camera setup and derive a generalized depth imaging formulation for translucent objects. Distorted depth value is refined using an iterative optimization. Experimental evaluation shows that our proposed method reasonably recovers the depth image of translucent objects.
| Original language | English |
|---|---|
| Pages (from-to) | 27-38 |
| Number of pages | 12 |
| Journal | Image and Vision Computing |
| Volume | 43 |
| DOIs | |
| Publication status | Published - 1 Nov 2015 |
Bibliographical note
Publisher Copyright:© 2015 Elsevier B.V.
Keywords
- Three-dimensional image processing
- ToF depth camera
- Translucent object imaging
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