Texture 2005 - Programme
The 4th international workshop on texture analysis and synthesis
In conjunction with ICCV2005

21 October 2005, Beijing, China

09:100:2509:35Filip and Haindl
09:351:3511:10Poster Session 1 - see below
11:100:2511:35Neubeck et al
11:350:2512:00Yu and Ahuja
13:550:2514:20Drbohlav and Chantler
14:200:2514:45Fazekas and Chetverikov
14:450:2515:10Lehmann, Pont and Geusebroek
15:101:2016:30Poster Session 2 - see below

Oral Presentations
An automatic 3D texturing framework
R. Paget
Efficient image-based bidirectional texture function model
J. Filip and M. Haindl
3D texture reconstruction from extensive BTF data
A. Neubeck, A. Zalesny and L. Van Gool
Simultaneous estimation of texture map and pseudo illumination from multiple views
T. Yu and N. Ahuja
Statistical estimation of histogram variation for texture classification
R. E. Broadhurst
Illumination-invariant texture classification using single training images
O. Drbohlav and M. J. Chantler
Normal versus complete flow in dynamic texture recognition: a comparative study
S. Fazekas and D. Chetverikov
Tree textures: modern techniques in art-historical context
A.-S. Lehmann, S. C. Pont and J.-M. Geusebroek
Poster Session 1
Dynamic texture with Fourier descriptors
B. Abraham, O. Camps and M. Sznaier
A genetic algorithm for texture synthesis and transfer
B. A. Attea and L. M. Rashid
Texture mixing via universal simulation
G. Brown, G. Sapiro and G. Seroussi
Self-similarity based editing of 3D surface textures
J. Dong, L. Qi, J. Ren and M. J. Chantler
Synthesis of textures with intricate geometries using BTF and large number of textured micropolygons
R. Furukawa, M. Harada, Y. Nakamura and H. Kawasaki
Learning texture similarity with perceptual pairwise distance
Y. Gao, L. Wang, K. L. Chan and W.-Y. Yau
BTF roller
M. Haindl and M. Hatka
A hybrid BTF model based on Gaussian mixtures
M. Haindl, J. Grim, P. Pudil and M. Kudo
Reproducing reflection properties of natural textures onto real object surfaces
N. Kawai
Poster Session 2
Combining rotationally variant and invariant features based on between-class error for 3D texture classification
A. Kawewong and O. Hasegawa
A detection-theoretic approach to texture and edge discrimination
I. Kokkinos and P. Maragos
De-emphasis of distracting image regions using texture power maps
S. Su, F. Durand and M. Agrawala
A Hankel operator approach to texture modelling and inpainting
M. Sznaier and O. Camps
Texture classification using extended higher order local autocorrelation features
T. Toyoda and O. Hasegawa
Labeling of textured data with co-training and active learning
M. Turtinen and M. Pietikainen
Compression of view dependent displacement maps
J. Wang and K. J. Dana
On rotational invariance for texture recognition
X. Shi and R. Manduchi
Analysis of segmentation performance on super-resolved images
J. Zhang and X. Yuan