Depth Discontinuities by Pixel-to-Pixel Stereo
International Journal of Computer Vision
A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
International Journal of Computer Vision
Non-parametric Local Transforms for Computing Visual Correspondence
ECCV '94 Proceedings of the Third European Conference-Volume II on Computer Vision - Volume II
Multi-camera Scene Reconstruction via Graph Cuts
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
Understanding belief propagation and its generalizations
Exploring artificial intelligence in the new millennium
A Stereo Machine for Video-Rate Dense Depth Mapping and Its New Applications
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Real-time stereo vision on the PARTS reconfigurable computer
FCCM '97 Proceedings of the 5th IEEE Symposium on FPGA-Based Custom Computing Machines
Advances in Computational Stereo
IEEE Transactions on Pattern Analysis and Machine Intelligence
Real-Time Stereo by using Dynamic Programming
CVPRW '04 Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 3 - Volume 03
Accurate and Efficient Stereo Processing by Semi-Global Matching and Mutual Information
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
ROS-DMA: A DMA Double Buffering Method for Embedded Image Processing with Resource Optimized Slicing
RTAS '06 Proceedings of the 12th IEEE Real-Time and Embedded Technology and Applications Symposium
Efficient Belief Propagation for Early Vision
International Journal of Computer Vision
The Tyzx DeepSea G2 Vision System, ATaskable, Embedded Stereo Camera
CVPRW '06 Proceedings of the 2006 Conference on Computer Vision and Pattern Recognition Workshop
Pfelib: a performance primitives library for embedded vision
EURASIP Journal on Embedded Systems
An Optimized Software-Based Implementation of a Census-Based Stereo Matching Algorithm
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing
A fast stereo matching algorithm suitable for embedded real-time systems
Computer Vision and Image Understanding
Hardware design considerations for edge-accelerated stereo correspondence algorithms
VLSI Design - Special issue on VLSI Circuits, Systems, and Architectures for Advanced Image and Video Compression Standards
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This work introduces a real-time capable realization of an area-based stereo matching algorithm that is distributed on two embedded smart camera platforms. Combining common industrial smart cameras by this way enables real time stereo vision as a new application domain for these platforms. With the proposed method, the computational load can be shared among the two cameras equipped with a digital signal processor each. This results in an efficient processing of a computational intensive stereo matching algorithm--- the processing speed is significantly faster compared to a single chip solution. Beside that, various optimizations especially developed for digital signal processors additionally increase the performance. On input images of 450×375 and a disparity range of 60, the system achieves a stereo processing performance of 11.8 frames per second. The stereo matching quality is evaluated using the Middlebury stereo database where it is the only purely embedded algorithm.