Group Properties of Cellular Automata and VLSI Applications
IEEE Transactions on Computers
Cellular automata machines: a new environment for modeling
Cellular automata machines: a new environment for modeling
Using chromatic information in edge-based stereo correspondence
CVGIP: Image Understanding
Adaptive filter theory (2nd ed.)
Adaptive filter theory (2nd ed.)
Three-dimensional computer vision: a geometric viewpoint
Three-dimensional computer vision: a geometric viewpoint
Machine vision
Cellular automata transforms: theory and applications in multimedia compression, encryption, and modeling
Intelligent machine vision: techniques, implementations and applications
Intelligent machine vision: techniques, implementations and applications
Using Real-Time Stereo Vision for Mobile Robot Navigation
Autonomous Robots
A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
International Journal of Computer Vision
Calculating Dense Disparity Maps from Color Stereo Images, an Efficient Implementation
International Journal of Computer Vision
Dense Features for Semi-Dense Stereo Correspondence
International Journal of Computer Vision
CA-Based Byte Error-Correcting Code
IEEE Transactions on Computers
A TCAD system for VLSI implementation of the CVD process using VHDL
Integration, the VLSI Journal
Introduction to the special issue: International Conference on Vision Systems
Machine Vision and Applications
Fast Unambiguous Stereo Matching Using Reliability-Based Dynamic Programming
IEEE Transactions on Pattern Analysis and Machine Intelligence
Near Real-Time Reliable Stereo Matching Using Programmable Graphics Hardware
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Theory of Self-Reproducing Automata
Theory of Self-Reproducing Automata
Extracting dense features for visual correspondence with graph cuts
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Training cellular automata for image processing
SCIA'05 Proceedings of the 14th Scandinavian conference on Image Analysis
Training cellular automata for image processing
IEEE Transactions on Image Processing
A Real-Time Occlusion Aware Hardware Structure for Disparity Map Computation
ICIAP '09 Proceedings of the 15th International Conference on Image Analysis and Processing
Image processing using 3-state cellular automata
Computer Vision and Image Understanding
FPGA based disparity map computation with vergence control
Microprocessors & Microsystems
Microprocessors & Microsystems
A real-time fuzzy hardware structure for disparity map computation
Journal of Real-Time Image Processing
Adaptive Census Transform: A novel hardware-oriented stereovision algorithm
Computer Vision and Image Understanding
Efficient and high performance FPGA-based rectification architecture for stereo vision
Microprocessors & Microsystems
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Stereo vision deals with images acquired by a stereo camera setup, where the disparity between the stereo images allows depth estimation within a scene. 3D information, hence, is retrieved which is essential in many machine vision applications. Disparity map extraction of an image is a computationally demanding task. Previous work on disparity map computation is mainly limited to software based techniques on general-purpose architectures. In this paper a new hardware-efficient real-time disparity map computation module is developed. This enables a hardware-based cellular automata (CA) parallel-pipelined design, for the overall module, realized on a single FPGA device, the typical operating frequency of which is 256MHz. Accurate disparity maps are computed at a rate of nearly 275 per second, for a stereo image pair with a disparity range of 80 pixels and 640x480 pixels spatial resolution. The presented hardware-based algorithm provides very good processing speed at the expense of accuracy, with very good scalability in terms of disparity levels. The proposed method allows the fastest disparity map computational module to be built, to the best of the authors' knowledge so far, enabling a suitable module for real-time stereo vision applications.