Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Jill D. Crisman"'
Publikováno v:
International Journal of Pattern Recognition and Artificial Intelligence. 12:119-141
In this paper, we discuss the notion of treating electronic ink as first class data without attempting to recognize it by presenting two different variations of approximate ink matching (AIM) for searching ink data. We also illustrate a pen-based ele
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e31cc84546dfb8ea6d364acf7ee1fd4
https://doi.org/10.1142/s0218001498000099
https://doi.org/10.1142/s0218001498000099
Publikováno v:
IEEE Robotics & Automation Magazine. 3:32-38
With only one motor per finger and a simple, easy to maintain, mechanical structure, the Graspar robotic hand uses minimal computation to provide secure grasping of objects ranging from eggs and light bulbs to tennis rackets, coffee pots and stuffed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::defd4e296dc0b9506bcff6d21bd6dd57
https://doi.org/10.1109/100.511778
https://doi.org/10.1109/100.511778
Autor:
Jill D. Crisman, Michael E. Cleary
Publikováno v:
Assistive Technology and Artificial Intelligence ISBN: 3540647902
Assistive Technology and Artificial Intelligence
Assistive Technology and Artificial Intelligence
We aim to develop a robot which can be commanded simply and accurately, especially by users with reduced mobility. Our shared control approach divides task responsibilities between the user (high level) and the robot (low level). A video interface sh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3eeae99a5bd78282ad127e279cbd63a5
https://doi.org/10.1007/bfb0055976
https://doi.org/10.1007/bfb0055976
Autor:
Jill D. Crisman, Juan Carlos Rojas
Publikováno v:
Proceedings of Conference on Intelligent Transportation Systems.
The AutoColor vehicle detection is a system that detects vehicles in images under different weather conditions. It first uses a novel color model of the road to classify each pixel lying on the road surface as either road or nonroad. The nonroad pixe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ac7205481a915edd5b39401b921b90a
https://doi.org/10.1109/itsc.1997.660509
https://doi.org/10.1109/itsc.1997.660509
Publikováno v:
Configurable Computing: Technology and Applications.
We are mapping an image clustering algorithm onto an FPGA- based computer system. Our approach processes raw pixel data in the red, green, blue color space and generates an output image where all pixels are assigned to classes. A class is a group of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b729e49b436d8047a750309040628dfd
https://doi.org/10.1117/12.327039
https://doi.org/10.1117/12.327039
Autor:
Jill D. Crisman, Nan Zeng
Publikováno v:
SPIE Proceedings.
This paper evaluates the accuracy of three color categorization techniques in describing vehicles colors for a system, AutoColor, which we are developing for Intelligent Transportation Systems. Color categorization is used to efficiently represent 24
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa216cc82cbfe21e1a4b4eaad6763eff
https://doi.org/10.1117/12.267140
https://doi.org/10.1117/12.267140
Autor:
Michael E. Cleary, Jill D. Crisman
Publikováno v:
SPIE Proceedings.
A major problem in using two-camera stereo machine vision to perform real-world tasks, such as visual object tracking, is deciding where to position the cameras. Humans accomplish the analogous task by positioning their heads and eyes for optimal ste
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e4e3d63e24da148d08c24c6b05bb0f76
https://doi.org/10.1117/12.169378
https://doi.org/10.1117/12.169378
Autor:
Jill D. Crisman, Yue Du
Publikováno v:
SPIE Proceedings.
In this paper, we propose a method for quantitatively analyzing the performance of tracking algorithms for generic objects (objects about which the system has no prior knowledge). The sensitivity of algorithms are measured as a function of changes in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::948cf3fc50ae0fcac8c44e7f39c93ed8
https://doi.org/10.1117/12.150228
https://doi.org/10.1117/12.150228
Publikováno v:
SPIE Proceedings.
In order to study the motion of non-rigid objects in an image sequence, it is often necessary to compute a dense optical flow field. Gradient-based techniques have been relatively successful at computing dense flow fields for gray-scale images when a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5771eb19e60659a91f22deb709d2e007
https://doi.org/10.1117/12.150197
https://doi.org/10.1117/12.150197