Selected Research

A GPU-accelerated method to significantly speed up nearest neighbor search for 3D point cloud registration, enhancing real-time performance in high-density spatial data processing.

Two methods to accelerate the most time-consuming steps in Oriented FAST feature detection: FAST feature point detection and Harris corner detection.

An efficient parallel implementation of the 3D Non-Local Means denoising algorithm on GPU, significantly accelerating performance for high-resolution medical image processing tasks.

An optimized GPU-based implementation of the GIST descriptor, significantly accelerating image feature extraction for large-scale visual processing tasks.

A lightweight coarse-to-fine stereo matching framework optimized for embedded GPUs, enabling efficient and accurate depth estimation under constrained resources.

A GPU-accelerated multi-directional Sobel operator kernel for efficient and parallel edge detection across multiple gradient orientations.

Fast ZNCC feature matching on embedded GPUs, offering an effective real-time alternative to traditional Census in stereo matching.