Skip to search form
Skip to main content
Skip to account menu
Semantic Scholar
Semantic Scholar's Logo
Search 233,432,868 papers from all fields of science
Search
Sign In
Create Free Account
Texture mapping
Known as:
Texture space
, Quadratic texture mapping
, Texturemap
Expand
Texture mapping is a method for defining high frequency detail, surface texture, or color information on a computer-generated graphic or 3D model…
Expand
Wikipedia
(opens in a new tab)
Create Alert
Alert
Related topics
Related topics
50 relations
2.5D
3D modeling
Accelerated Graphics Port
Alpha mapping
Expand
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2005
2005
A COMBINED NEURO-FUZZY APPROACH FOR CLASSIFYING IMAGE PIXELS IN MEDICAL APPLICATIONS
R. Oweis
,
Muna J. Sunna
2005
Corpus ID: 18761473
This paper is concerned with classifying image pixels into three sets of pixels: contour, regular, and texture. When properly…
Expand
Highly Cited
2004
Highly Cited
2004
Confounded Expectations: Informedia at TRECVID 2004
Alexander Hauptmann
,
Yan Chen
,
+9 authors
H. Wactlar
TREC Video Retrieval Evaluation
2004
Corpus ID: 8006586
For TRECVID 2004, CMU participated in the semantic feature extraction task, and the manual, interactive and automatic search…
Expand
2002
2002
Real-Time Extendible-Resolution Display of On-line Dynamic Terrain
Yefei He
,
J. Cremer
,
Y. Papelis
Graphics Interface
2002
Corpus ID: 14404995
We present a method for multiresolution view-dependent real-time display of terrain undergoing on-line modification. In other…
Expand
Highly Cited
2001
Highly Cited
2001
An Intelligent Content-based Image Retrieval System Based on Color, Shape and Spatial Relations
T. Shih
,
Jiung-yao Huang
,
Ching-Sheng Wang
,
J. C. Hung
,
Chuan-Ho Kao
2001
Corpus ID: 15340013
Content-based multimedia information retrieval is an interesting but difficult area of research. Current approaches include the…
Expand
1999
1999
Quantitative texture analysis applied to the study of preferential orientations in ferroelectric thin films
J. Ricote
,
D. Chateigner
1999
Corpus ID: 55982378
The occurrence of preferred crystallographic orientations, or texture, is a determinant factor of the behaviour of polar…
Expand
Highly Cited
1998
Highly Cited
1998
Clonal Mosaic Model for the Synthesis of Mammalian Coat Patterns
M. Walter
,
A. Fournier
,
M. Reimers
Graphics Interface
1998
Corpus ID: 15140520
We introduce the Clonal Mosaic (CM) model for the synthesis of mammalian coat patterns, present its implementation for modeling…
Expand
Highly Cited
1997
Highly Cited
1997
Recognition of Images in Large Databases Using a Learning Framework
Serge J. Belongie
,
C. Carson
,
H. Greenspan
,
Jitendra Malik
1997
Corpus ID: 788497
Retrieving images from very large collections using image content as a key is becoming an important problem. Classifying images…
Expand
Highly Cited
1997
Highly Cited
1997
Growth anisotropy and self-shadowing: A model for the development of in-plane texture during polycrystalline thin-film growth
O. Karpenko
,
J. Bilello
,
S. Yalisove
1997
Corpus ID: 12299236
The development of a preferred crystallographic orientation in the plane of growth, an in-plane texture, is addressed in a model…
Expand
1995
1995
Level-of-Detail Management for Real-Time Rendering of Phototextured Terrain
Peter Lindstrom
,
David Koller
,
L. Hodges
,
W. Ribarsky
,
N. Faust
,
Gregory A. Turner
1995
Corpus ID: 16722136
We present four techniques for real-time level-of-detail reduction of digital terrain data without loss of visual image quality…
Expand
1989
1989
Rendering cubic curves and surfaces with integer adaptive forward differencing
Sheue-Ling Chang
,
M. Shantz
,
R. Rocchetti
International Conference on Computer Graphics and…
1989
Corpus ID: 15394187
For most compute environments, adaptive forward differencing is much more efficient when performed using integer arithmetic than…
Expand
By clicking accept or continuing to use the site, you agree to the terms outlined in our
Privacy Policy
(opens in a new tab)
,
Terms of Service
(opens in a new tab)
, and
Dataset License
(opens in a new tab)
ACCEPT & CONTINUE