In this paper we propose a new segmentation algorithm which combines patch-based information with edge cues under a probabilistic framework. We use a mixture of multiple Gaussians...
We present a simple but efficient model for object segmentation in video scenes that integrates motion and color information in a joint probabilistic framework. Optical flow is mo...
In this paper, we propose an algorithm to resample coarse vector fields in order to obtain vector fields of a higher density. Unlike the typical linear interpolation scheme, our a...
Mani Thomas, Chandra Kambhamettu, Cathleen A. Geig...
This paper overviews a set of Performance Evaluation
ToolS (PETS) for zone segmentation and classification. The
tools allow researchers and developers to evaluate, optimize
and ...
Abstract. This article describes a novel junction descriptor that encodes junctions’ semantic information in terms incoming lines’ orientations, both in 2D and 3D. A Kalman fi...