This paper deals with automatically learning the spatial distribution of a set of images. That is, given a sequence of images acquired from well-separated locations, how can they ...
There has been considerable success in automated reconstruction for image sequences where small baseline algorithms can be used to establish matches across a number of images. In c...
This paper presents a method for accurately segmenting and classifying 3D range data into particular object classes. Object classification of input images is necessary for applicat...
The purpose of Project Pioneer is to develop an exploratory robot capable of creating a three-dimensional photo-realistic map of the inside of the damaged Chornobyl Nuclear Reacto...
Fitzgerald Steele Jr., Geb W. Thomas, Theodore Bla...
We describe results on combining depth information from a laser range-finder and color and texture image cues to segment ill-structured dirt, gravel, and asphalt roads as input t...