TR2012-078
Rainbow Flash Camera: Depth Edge Extraction Using Complementary Colors
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- "Rainbow Flash Camera: Depth Edge Extraction Using Complementary Colors", European Conference on Computer Vision (ECCV), October 2012, vol. 7577, pp. 513-527.BibTeX TR2012-078 PDF
- @inproceedings{Taguchi2012oct2,
- author = {Taguchi, Y.},
- title = {Rainbow Flash Camera: Depth Edge Extraction Using Complementary Colors},
- booktitle = {European Conference on Computer Vision (ECCV)},
- year = 2012,
- volume = 7577,
- pages = {513--527},
- month = oct,
- url = {https://www.merl.com/publications/TR2012-078}
- }
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- "Rainbow Flash Camera: Depth Edge Extraction Using Complementary Colors", European Conference on Computer Vision (ECCV), October 2012, vol. 7577, pp. 513-527.
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Research Area:
Abstract:
We present a novel color multiplexing method for extracting depth edges in a scene. It has been shown that casting shadows from different light positions provides a simple yet robust cue for extracting depth edges. Instead of flashing a single light source at a time as in conventional methods, our method flashes all light sources simultaneously to reduce the number of captured images. We use a ring light source around a camera and arrange colors on the ring such that the colors form a hue circle. Because complementary colors are arranged at any position and its antipole on the ring, shadow regions where a half of the hue circle is occluded are colorized according to the orientations of depth edges, while non-shadow regions where all the hues are mixed have a neutral color in the captured image. In an ideal situation, the colored shadows in a single image directly provide depth edges and their orientations. In practice, we present a robust depth edge extraction algorithm using an additional image captured by rotating the hue circle with 180 degrees. We demonstrate the advantages of our approach using a camera prototype consisting of a standard camera and 8 color LEDs.
Related News & Events
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NEWS ECCV 2012: 3 publications by Yuichi Taguchi, Tyler W. Garaas, Srikumar Ramalingam, C. Oncel Tuzel and Amit K. Agrawal Date: October 7, 2012
Where: European Conference on Computer Vision (ECCV)
Research Area: Computer VisionBrief- The papers "Motion-Aware Structured Light Using Spatio-Temporal Decodable Patterns" by Taguchi, Y., Agrawal, A. and Tuzel, O., "Rainbow Flash Camera: Depth Edge Extraction Using Complementary Colors" by Taguchi, Y. and "Monocular Visual Odometry and Dense 3D Reconstruction for On-Road Vehicles" by Zhu, M., Ramalingam, S., Taguchi, Y. and Garaas, T. were presented at the European Conference on Computer Vision (ECCV).