Thermal infrared imaging is less affected by lighting conditions and smoke compared to
visible light imaging. However, thermal infrared images often have lower resolution and lack …

Stereo vision technology, as a significant branch of computer vision, has been widely
applied in fields such as robot navigation, autonomous driving, and 3D reconstruction …

Due to its superior performance for denoising an image, which is contaminated by impulsive
noise, an adaptive decision based inverse distance weighted interpolation (DBIDWI) …

Stereo depth estimation has become an attractive topic in the computer vision field. Although
various algorithms strive to optimize the speed and the precision of estimation, the energy …

Stereo matching is an important method in computer vision for simulating human binocular
vision to acquire spatial distance information. Implementing high-precision and real-time …

Stereo vision is one of the most interesting topic research in the last decades. It follows the
human's vision principle with two eyes to produce the depth estimation. Many recent works …

In this paper, an algorithm is developed in 3D Stereo vision to improve image stabilization
process for multi-camera viewpoints. Finding accurate unique matching key-points using …

Stereo depth estimation has become an attractive topic in the computer vision field. Although
various algorithms strive to optimize the speed and the precision of estimation, the energy …

The real‐time and accurate collection of long‐distance runners' training distance can
provide real‐time scientific basis for long‐distance runners' physical training. Therefore, the …

Stereo vision is one of the interesting research topics in the computer vision field. Two
cameras are used to generate a disparity map, resulting in the depth estimation. Camera …