ACM SIGGRAPH 2006 Papers
Depth Imaging by Combining Time-of-Flight and On-Demand Stereo
Dyn3D '09 Proceedings of the DAGM 2009 Workshop on Dynamic 3D Imaging
Vision-guided Robot System for Picking Objects by Casting Shadows
International Journal of Robotics Research
Detecting and segmenting un-occluded items by actively casting shadows
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part I
ICOSSSE'10 Proceedings of the 9th WSEAS international conference on System science and simulation in engineering
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Currently, sharp discontinuities in depth and partial occlusions in multiview imaging systems pose serious challenges for many dense correspondence algorithms. However, it is important for 3D reconstruction methods to preserve depth edges as they correspond to important shape features like silhouettes which are critical for understanding the structure of a scene. In this paper we show how active illumination algorithms can produce a rich set of feature maps that are useful in dense 3D reconstruction. We start by showing a method to compute a qualitative depth map from a single camera, which encodes object relative distances and can be used as a prior for stereo. In a multiview setup, we show that along with depth edges, binocular half-occluded pixels can also be explicitly and reliably labeled. To demonstrate the usefulness of these feature maps, we show how they can be used in two different algorithms for dense stereo correspondence. Our experimental results show that our enhanced stereo algorithms are able to extract high quality, discontinuity preserving correspondence maps from scenes that are extremely challenging for conventional stereo methods.