We present an algorithm for automatic locating of anthropometric landmarks on 3D human scans. Our method is based on learning landmark characteristics and the spatial relationship...
When an observer moves through a rigid 3D scene, points that are near to the observer move with a different image velocity than points that are far away. The difference between im...
Michael S. Langer, Vincent Chapdelaine-Couture, Ri...
Shape from silhouette methods are extensively used to model dynamic and non-rigid objects using binary foreground-background images. Since the problem of reconstructing shapes fro...
We describe an interactive system that models regions of an urban environment, such as a group of tall buildings. Traditional image-based modeling methods often cannot model such ...
This paper describes a probabilistic method of aligning and merging range images. We formulate these issues as problems of estimating the maximum likelihood. By examining the erro...
We propose a mathematical approach for quantifying shape complexity of 3D surfaces based on perceptual principles of visual saliency. Our curvature variation measure (CVM), as a 3...
Sreenivas R. Sukumar, David Page, Andrei V. Gribok...
We present a registration framework based on feature points of anatomical 3D shapes represented in the point cloud domain. Anatomical information is utilized throughout the comple...
Alexander Zouhar, Tong Fang, Gozde B. Unal, Gregor...
A prerequisite to calibrated camera pose estimation is the construction of a camera neighborhood adjacency graph, a connected graph defining the pose neighbors of the camera set....
Range sensing technology allows the photorealistic modeling of large-scale scenes, such as urban structures. The generated 3D representations, after automated registration, are us...
Ioannis Stamos, Gene Yu, George Wolberg, Siavash Z...