Computer Vision and Robotics Lab
Computer Vision and Robotics Lab
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Javier Díaz
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Hierarchical architecture for motion and depth estimations based on color cues
On-chip semidense representation map for dense visual features driven by attention processes
Real-time visual saliency architecture for FPGA with top-down attention modulation
Bottom-up visual attention model based on FPGA
A multi-resolution approach for massively-parallel hardware-friendly optical flow estimation
Massive parallel-hardware architecture for multiscale stereo, optical flow and image-structure computation
Parallel architecture for hierarchical optical flow estimation based on FPGA
Pipelined architecture for real-time cost-optimized extraction of visual primitives based on FPGAs
Real-time architecture for a robust multi-scale stereo engine on FPGA
Vector disparity sensor with vergence control for active vision systems
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