Alignment of the 3D data with the 3D CAD model allows for analysis of the progress of the
construction project or retrieval of the desired 3D object model for use in 3D as-built …

This paper presents an approach to unsupervised segmentation of moving and static objects
occurring in a video. Objects are, in general, spatially cohesive and characterized by locally …

Action recognition with cluttered and moving background is a challenging problem. One
main difficulty lies in the fact that the motion field in an action region is contaminated by the …

The performance of video stabilization is dependent on the accuracy of global motion
estimation between two successive frames. In this paper, we propose a novel method to …

Tensor voting is a computational framework that addresses the problem of perceptual
organisation. It was designed to convey human perception principles into a unified …

This study presents a straightforward approach to computer-aided polyp detection and
explores its advantages and future potential. A straightforward computer-aided polyp …

Grouping processes, which “organize” a given data by eliminating the irrelevant items and
sorting the rest into groups, each corresponding to a particular object, can provide reliable …

We present a novel method for motion segmentation and depth ordering from a video
sequence in general motion. We first compute motion segmentation based on differential …

We propose a novel framework for fast regularization of matrix-valued images. The resulting
algorithms allow a unified treatment for a broad set of matrix groups and manifolds. Using an …

Most previous methods of real-time video stabilization are only effective for low-vibrating
frames which are usually captured by in-vehicle camera at the low-speed moving. To …