Security and privacy of smart home systems based on the Internet of Things and stereo matching algorithms
With the rapid development of the Internet of Things (IoT), security and privacy of smart
home systems based on IoT are more and more popular. As the key component of IoT …
home systems based on IoT are more and more popular. As the key component of IoT …
Segment-based disparity refinement with occlusion handling for stereo matching
T Yan, Y Gan, Z **a, Q Zhao - IEEE Transactions on Image …, 2019 - ieeexplore.ieee.org
In this paper, we propose a disparity refinement method that directly refines the winner-take-
all (WTA) disparity map by exploring its statistical significance. According to the primary …
all (WTA) disparity map by exploring its statistical significance. According to the primary …
Improvement of stereo matching algorithm for 3D surface reconstruction
The stereo matching algorithm is one of the important methods for 3D surface reconstruction.
A stereo matching process produces a disparity map which provides the depth of information …
A stereo matching process produces a disparity map which provides the depth of information …
Stereo matching algorithm based on per pixel difference adjustment, iterative guided filter and graph segmentation
Stereo matching process is a difficult and challenging task due to many uncontrollable
factors that affect the results. These factors include the radiometric variations and …
factors that affect the results. These factors include the radiometric variations and …
Accurate and efficient stereo matching by log-angle and pyramid-tree
C Xu, C Wu, D Qu, F Xu, H Sun… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Efficient and fast stereo matching is a challenging task due to the presence of occlusion and
low texture areas. In stereo matching, the correspondence between left and right images …
low texture areas. In stereo matching, the correspondence between left and right images …
Efficient stereo matching leveraging deep local and context information
X Ye, J Li, H Wang, H Huang, X Zhang - IEEE Access, 2017 - ieeexplore.ieee.org
Stereo matching is a challenging problem with respect to weak texture, discontinuities,
illumination difference and occlusions. Therefore, a deep learning framework is presented in …
illumination difference and occlusions. Therefore, a deep learning framework is presented in …
Dynamic programming with adaptive and self-adjusting penalty for real-time accurate stereo matching
M Hallek, H Boukamcha, A Mtibaa, M Atri - Journal of Real-Time Image …, 2022 - Springer
Dense disparity map extraction is one of the most active research areas in computer vision. It
tries to recover three-dimensional information from a stereo image pair. A large variety of …
tries to recover three-dimensional information from a stereo image pair. A large variety of …
Multi-stage feature pyramid stereo network-based disparity estimation approach for two to three-dimensional video conversion
Disparity estimation is a popular topic in computer vision and has drawn increasing attention
in recent years. In this article, we propose a new multi-stage network for the purpose of two …
in recent years. In this article, we propose a new multi-stage network for the purpose of two …
MASIC: Deep Mask Stereo Image Compression
Stereo image compression (SIC) aims to simultaneously compress a pair of left and right
stereoscopic images, which can achieve higher compression efficiency than single image …
stereoscopic images, which can achieve higher compression efficiency than single image …
Uamd-net: A unified adaptive multimodal neural network for dense depth completion
G Chen, J Lin, H Qin - … Transactions on Circuits and Systems for …, 2023 - ieeexplore.ieee.org
Depth estimation is a critical problem in robotics applications especially autonomous driving.
Currently, depth prediction based on binocular stereo matching and depth completion based …
Currently, depth prediction based on binocular stereo matching and depth completion based …