3D object recognition is performed using a scale and orientation invariant feature extraction
method and a scale and orientation invariant topological representation. 3D surfaces are …

Three dimensional (3D) interest point detection plays a fundamental role in computer vision.
In this paper, we introduce a new method for detecting 3D interest points of 3D mesh models …

Image-to-patient registration is a coordinate system matching process between real patients
and medical images to actively utilize medical images such as computed tomography (CT) …

We present a new framework for detecting, describing, and matching keypoints in combined
range-intensity data, resulting in what we call physical scale keypoints. We first produce an …

A generic, transform invariant 3D facial feature detection method based on mean (H) and
Gaussian (K) curvature analysis is proposed. A scale space of the HK values is constructed …

This paper describes a mixed-mode delay-locked loop (DLL) for wide-range operation and
multiphase outputs with just one clock cycle. The architecture of the proposed DLL uses the …

This paper proposes a multiscale 3D keypoint detection method based on local weighted
dissimilarity measure. At first, compute the local weighted dissimilarity measure of each …

This dissertation presents an automatic registration system for aligning combined
rangeintensity scans. The approach is designed to handle several challenges including …

This paper proposes a coarse-to-fine 3D keypoint detection method based on Principal
Component Analysis and Harris operator. At first, the local neighborhood of each vertex is …