Parallel framework for dense disparity map estimation using Hamming distance
Sign Up to like & getrecommendations! Published in 2018 at "Signal, Image and Video Processing"
DOI: 10.1007/s11760-017-1150-3
Abstract: A novel framework for sparse and dense disparity estimation was designed, and the proposed framework has been implemented in CPU and GPU for a parallel processing capability. The Census transform is applied in the first… read more here.
Keywords: framework; disparity map; disparity; dense disparity ... See more keywords
Image Super-Resolution Reconstruction Based on Disparity Map and CNN
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2850912
Abstract: This paper presents a new method for registration of digital micro-mirror device (DMD) cameras through image reconstruction. The method called dual-channel super-resolution reconstruction (DCSR) uses a dual-channel input convolutional neural network method to iteratively obtain… read more here.
Keywords: reconstruction; resolution; image; super resolution ... See more keywords
A Segmented Consistency Check Approach to Disparity Map Refinement
Sign Up to like & getrecommendations! Published in 2018 at "Canadian Journal of Electrical and Computer Engineering"
DOI: 10.1109/cjece.2019.2890986
Abstract: In stereo vision field, image processing techniques are used to increase the robustness of some types of solutions, especially those involved in real-world applications. With the objective to improve raw disparity maps, we investigated strategies… read more here.
Keywords: segmented consistency; disparity map; consistency check; disparity ... See more keywords