Now showing items 1-5 of 5
A generalized approach to real-time pattern recognition in sensed data
(Georgia Institute of Technology, 1999-12)
Many applications that focus on target detection in an image scene develop algorithms specific to the task at hand. These algorithms tend to be dependent on the type of input data used in the application and thus generally ...
Intelligent Target Detection in Hyperspectral Imagery
(Georgia Institute of Technology, 1999-03)
Many applications that use hyperspectral imagery focus on detection and recognition of targets that occupy a portion of a hyperspectral pixel. We address the problem of sub-pixel target detection by evaluating individual ...
Intelligent learning for deformable object manipulation
(Georgia Institute of Technology, 1999-11)
The majority of manipulation systems are designed with the assumption that the objects’being handled are rigid and do not deform when grasped. This paper addresses the problem of robotic grasping and manipulation of 3-D ...
A Multi-Stage Neural Network for Automatic Target Detection
(Georgia Institute of Technology, 1998-05)
Automatic Target Recognition (ATR) involves processing two-dimensional images for detecting, classifying, and tracking targets. The first stage in ATR is the detection process. This involves discrimination between target ...
Recursive Learning for Deformable Object Manipulation
(Georgia Institute of Technology, 1997-07)
This paper presents a generalized approach to handling of 3D deformable objects. Our task is to learn robotic grasping characteristics for a non-rigid object represented by a physically-based model. The model is derived ...