This paper proposes a novel method for global registration based on matching 3D medial structures of unorganized point clouds or triangulated meshes. Most practical known methods ...
Ming-Ching Chang, Frederic F. Leymarie, Benjamin B...
This paper presents a general learning framework for non-rigid registration of MR brain images. Given a set of training MR brain images, three major types of information are partic...
3D surface matching is fundamental for shape registration, deformable 3D non-rigid tracking, recognition and classification. In this paper we describe a novel approach for generati...
Wei Zeng, Yun Zeng, Yang Wang, Xiaotian Yin, Xianf...
Computer vision tasks such as learning, recognition, classification or segmentation applied to spatial data often requires spatial normalization of repeated features and structure...
Abstract. Point matching is crucial for many computer vision applications. Establishing the correspondence between a large number of data points is a computationally intensive proc...
Lin Yang, Leiguang Gong, Hong Zhang, John L. Noshe...