Edge-Directed Hardware Architecture for Real-Time Disparity Map Computation

Dynamically adaptive real-time disparity estimation hardware using iterative refinement

“…By using the proposed weaving architecture, even if the window size is changed, always 49 pixels are selected for the window. Therefore, the proposed hardware architecture is able to reach the largest window size (25 Â 25) among the hardware architectures implemented for DE [15][16][17][18][19][20][21]. The adaptability of window size between the small and large window sizes provides high-quality disparity estimation results for HR images.…”

“…The proposed dynamic reconfigurability provides better DE results than existing real-time DE hardware implementations for HR images [19][20][21] for the tested HR benchmarks. The proposed hardware architectures for AWDE and AWDE-IR provides 60 frames per second at a 1024 Â 768 XGA video resolution for 128 pixel disparity range.…”

“…Various hardware architectures that are presented in literature provide real-time DE [15][16][17][18][19][20][21]. Some implemented hardware architectures only target CIF or VGA video [15][16][17][18].…”

“…The systems proposed in [19][20][21] claim to reach real-time for HR video. Still, their quality results in terms of the HR benchmarks given in [11] are not provided.…”

“…Authors [19] claims to reach 550 fps for 80 pixel disparity range at a 800 Â 600 video resolution, but it requires extremely large hardware resources. A simple edgedirected method presented in [20] reaches 50 fps at a 1280 Â 1024 video resolution and 120 pixel disparity range, but does not provide satisfactory DE results due to a low-complexity architecture. In [21], a hierarchical structure with respect to image resolution is presented to reach 30 fps at a 1920 Â 1080 video resolution and 256 pixel disparity range, but it does not provide high-quality DE for HR.…”