In this paper, we describe an efficient image-based approach to computing and shading visual hulls from silhouette image data. Our algorithm takes advantage of epipolar geometry a...
Wojciech Matusik, Chris Buehler, Ramesh Raskar, St...
We present a novel approach we call partitioning where the robot's degrees- of-freedom (D OF) are categorized into two classes based on joint kinematics and dynamics to desig...
The work described here addresses information generated during mesh preprocessing, specifically mesh quality indicators derived on a per-element basis. A technique is introduced f...
A multivariate network is a graph whose nodes contain multi-dimensional attributes. We propose a method to visualize such a network using spherical Self-Organizing Map (SOM) and c...
Abstract. A convolutional network architecture termed sparse convolutional neural network (SCNN) is proposed and tested on a real-world classification task (car classification). In...