Truncated γ norm-based low-rank and sparse decomposition
Z Yang, Y Yang, L Fan, BK Bao - Multimedia Tools and Applications, 2022 - Springer
Low-rank and sparse decomposition (LRSD) has been gained considerable attention due to
its success in computer vision and many other numerous fields. However, the traditional …
its success in computer vision and many other numerous fields. However, the traditional …
Energy efficient approximate 3d image reconstruction
We demonstrate an efficient and accelerated parallel, sparse depth reconstruction
framework using compressed sensing (compressed sensing (CS)) and approximate …
framework using compressed sensing (compressed sensing (CS)) and approximate …
A non-local low rank and total variation approach for depth image estimation
U Nguyen, TG Tong, TT Hoa… - 2021 RIVF International …, 2021 - ieeexplore.ieee.org
Accurate depth reconstruction is vital for numerous applications including autonomous
vehicles, virtual reality, and robot perception. However, the depth imaging is challenging …
vehicles, virtual reality, and robot perception. However, the depth imaging is challenging …
Efficient Reconfigurable Mixed Precision Solver for Compressive Depth Reconstruction
Rapid reconstruction of depth images from sparsely sampled data is important for many
applications in machine perception, including robot or vehicle assistance or autonomy …
applications in machine perception, including robot or vehicle assistance or autonomy …