Improved Accuracy in Gradient-Based Optical Flow Estimation
International Journal of Computer Vision
Real-time stereo vision on the PARTS reconfigurable computer
FCCM '97 Proceedings of the 5th IEEE Symposium on FPGA-Based Custom Computing Machines
Real-Time Implementation of an Optical Flow Algorithm
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 4 - Volume 4
Pattern Recognition Letters
Hardware implementation of optical flow constraint equation using FPGAs
Computer Vision and Image Understanding
Motion-Driven Segmentation by Competitive Neural Processing
Neural Processing Letters
Reconfigurable hardware implementation of a phase-correlation stereoalgorithm
Machine Vision and Applications
FPGA-based real-time optical-flow system
IEEE Transactions on Circuits and Systems for Video Technology
Bio-inspired visual information processing: the neuromorphic approach
WSEAS Transactions on Circuits and Systems
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In this work we present a vision system that includes circuits to compute different modalities in parallel, such as local image features (magnitude, phase and orientation), motion and stereo vision. This becomes possible by efficiently using the massive parallel computing resources of FPGA devices. The paper briefly describes the complete system and discusses the hardware consumption and performance of each visual modality. Finally, the work highlights that huge amount of data produced by such a system and the necessity of on-chip integration mechanisms.