The iterative closest point (ICP) algorithm [2] is a popular method for modeling 3D objects from range data. The classical ICP algorithm rests on a rigid surface assumption. Build...
Autonomous range acquisition for 3D modeling requires reliable range registration, for both the precise localization of the sensor and combining the data from multiple scans for v...
Three-dimensional (3D) registration is the process aligning the range data sets form different views in a common coordinate system. In order to generate a complete 3D model, we nee...
Sang-Hoon Kim, Yong Ho Hwang, Hyun-Ki Hong, Min-Hy...
This paper presents a new multiview alignment algorithm that performs both the coarse and fine alignment of unordered sets of range scans. Our algorithm selects quadruples of ran...
— In order to construct three-dimensional shape models of large-scale architectural structures using a laser range finder, a number of range images are taken from various viewpo...
Ryo Kurazume, Yusuke Noda, Yukihiro Tobata, Kai Li...
High energy traumatic impact of the craniofacial skeleton is an inevitable consequence of today's fast paced society. The work presented in this paper leverages recent advanc...
Suchendra M. Bhandarkar, Ananda S. Chowdhury, Yaro...
In this paper, the problem of estimating automatically the symmetry plane of bilateral objects (having perfect or imperfect mirror symmetry) in point clouds is reexamined. Classic...