| |
 |
|
|
Smith, Stephen
Intel
Chandler, Arizona
|
|
 |
|
|
| |
| |
|
Date Reviewed |
|
| |
1 - 10 of 11
reviews
|
|
|
|
|
|
|
|
A logical framework for depiction and image interpretation
Reiter R., Mackworth A. Artificial Intelligence 41(2): 125-155, 1989. Type: Article
Three sets of axioms--image, scene, and depiction axioms--are defined to describe and codify the task of image interpretation by using formal logic. Image axioms state the predicates over objects in the image of a sce...
|
Oct 1 1990 |
|
|
|
|
|
|
Spatial reasoning in an industrial robotic environment
Magee M., Wolfe W., Mathis D., Weber-Sklair C., Becker J. Industrial and engineering applications of artificial intelligence and expert systems, vol. 2 (, Tullahoma, TN, 8991989. Type: Proceedings
This paper describes a preliminary experiment on using geometric knowledge of objects in a robot’s workspace to aid in the task of recognizing the state of that workspace. The experiment consists of having a robot view a &...
|
Jul 1 1990 |
|
|
|
|
|
|
Perceptrons: expanded edition
Minsky M., Papert S., MIT Press, Cambridge, MA, 1988. Type: Book (9789780262631112)
This book is a reprint of the classic 1969 treatise on perceptrons, containing the 1972 handwritten alterations of that text. This expanded edition includes two sections written in 1988: a 9-page prologue and a 34-page epilogue. With t...
|
Apr 1 1990 |
|
|
|
|
|
|
Surfaces in range image understanding
Besl P., Springer-Verlag New York, Inc., New York, NY, 1988. Type: Book (9789780387967738)
This book is the first in a series of perception engineering books from Springer-Verlag. As such, it shows great promise for the series....
|
Dec 1 1989 |
|
|
|
|
|
|
Computing Motion Using Analog and Binary Resistive Networks
Hutchinson J., Koch C., Luo J., Mead C. Computer 21(3): 52-63, 1988. Type: Article
In this review paper, the authors do an excellent job of summarizing a recent approach to early vision processing and especially optical flow computation. In this approach, visual processes are viewed as ill-posed problems in mathemati...
|
Jan 1 1989 |
|
|
|
|
|
|
Statistical pattern recognition--early development and recent progress
Chen C. International Journal of Pattern Recognition and Artificial Intelligence 1(1): 43-51, 1987. Type: Article
As the title suggests, this paper surveys developments in the field of statistical pattern recognition. The paper’s other goal is to highlight the impact of the late Professor Fu on the field. It does not make any attempt to ...
|
May 1 1988 |
|
|
|
|
|
|
TID--a translation invariant data structure for storing images
Scott D., Iyengar S. Communications of the ACM 29(5): 418-429, 1986. Type: Article
There are a number of techniques used to represent binary image data; among them are borders, arrays, skeletons, and quadtrees. This paper presents a new representation technique called TID (for Translation Invariant Data structure). T...
|
Nov 1 1986 |
|
|
|
|
|
|
Model-based image matching using location
Baird H., Massachusetts Institute of Technology, Cambridge, MA, 1985. Type: Book (9789780262022200)
This book is one of the entries in the ACM Distinguished Doctoral Dissertation Series from MIT Press. This means that, in the judgment of the ACM selection committee and MIT Press, this thesis was one of the best doctoral dissertations...
|
Apr 1 1986 |
|
|
|
|
|
|
Understanding objects with curved surfaces from a single perspective view of boundaries
Lee S., Haralick R., Zhang M. Artificial Intelligence 26(2): 145-169, 1985. Type: Article
In this paper, further work with the paradigm of junction labeling is described. The authors extend the work of Chakravarty [1] to include line labeling constraints. One line drawing is used as an example to show that this additional c...
|
Nov 1 1985 |
|
|
|
|
|
|
Object detection based on gray level cooccurrence
Trivedi M. (ed), Harlow C., Conners R., Goh S. Computer Vision, Graphics, and Image Processing 28(2): 199-219, 1984. Type: Article
As the name of the paper suggests, the work described here is a study of the use of features derived from Gray Level Cooccurrence (GLC) matrices to detect spatially compact objects in images. Coocurrence matrices are commonly used in t...
|
Jun 1 1985 |
|
|
|
|
|
| |
|
|
| |
|
|
