A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Theory of Multiplexed Illumination
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Non-photorealistic camera: depth edge detection and stylized rendering using multi-flash imaging
ACM SIGGRAPH 2004 Papers
Specular Reflection Reduction with Multi-Flash Imaging
SIBGRAPI '04 Proceedings of the Computer Graphics and Image Processing, XVII Brazilian Symposium
Transforming your shadow into colorful visual media: multiprojection of complementary colors
Computers in Entertainment (CIE) - Theoretical and Practical Computer Applications in Entertainment
Beyond Silhouettes: Surface Reconstruction Using Multi-Flash Photography
3DPVT '06 Proceedings of the Third International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT'06)
Multiflash Stereopsis: Depth-Edge-Preserving Stereo with Small Baseline Illumination
IEEE Transactions on Pattern Analysis and Machine Intelligence
Vision-guided Robot System for Picking Objects by Casting Shadows
International Journal of Robotics Research
Illumination demultiplexing from a single image
ICCV '11 Proceedings of the 2011 International Conference on Computer Vision
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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°. We demonstrate the advantages of our approach using a camera prototype consisting of a standard camera and 8 color LEDs.