DSpace Kolekce:
http://hdl.handle.net/11025/11899
2024-03-29T11:33:49ZAcquiring Bidirectional Texture Functions for Large-Scale Material Samples
http://hdl.handle.net/11025/11905
Název: Acquiring Bidirectional Texture Functions for Large-Scale Material Samples
Autoři: Steinhausen, Heinz Christian; den Brok, Dennis; Hullin, Matthias B.; Klein, Reinhard
Editoři: Skala, Václav
Abstrakt: Most current acquisition setups for bidirectional texture functions (BTFs) are incapable of capturing large-scale
material samples. We propose a method based on controlled texture synthesis to produce BTFs of appealing visual
quality for such materials. Our approach uses as input data a complete measurement of a small fraction of the
sample, together with few images of the large-scale structure controlling the synthesis process. We evaluate the
applicability of our approach by reconstructing sparsified ground truth data and investigate the consequences of
choosing different kinds and numbers of constraint images.2014-01-01T00:00:00ZSteinhausen, Heinz Christianden Brok, DennisHullin, Matthias B.Klein, ReinhardPatch-based sparse reconstruction of material BTFs
http://hdl.handle.net/11025/11904
Název: Patch-based sparse reconstruction of material BTFs
Autoři: Brok, Dennis den; Steinhausen, Heinz Christian; Hullin, Matthias; Klein, Reinhard
Editoři: Skala, Václav
Abstrakt: We propose a simple and efficient method to reconstruct materials’ bidirectional texture functions (BTFs) from
angularly sparse measurements. The key observation is that materials of similar types exhibit both similar surface
structure and reflectance properties. We exploit this by manually clustering an existing database of fully measured
material BTFs and fitting a linear model to each of the clusters. The models are computed not on per-texel data
but on small spatial BTF patches we call apparent BTFs. Sparse reconstruction can then be performed by solving
a linear least-squares problem without any regularization, using a per-cluster sampling strategy derived from the
models. We demonstrate that our method is capable of faithfully reconstructing fully resolved BTFs from sparse
measurements for a wide range of materials.2014-01-01T00:00:00ZBrok, Dennis denSteinhausen, Heinz ChristianHullin, MatthiasKlein, ReinhardCross-domain image matching improved by visual attention
http://hdl.handle.net/11025/11903
Název: Cross-domain image matching improved by visual attention
Autoři: de Melo, Ernani Viriato; de Amo, Sandra; Guliato, Denise
Editoři: Skala, Václav
Abstrakt: A good accuracy in image retrieval across different visual domains, such as photos taken over different seasons
or lighting conditions, paintings, drawings, hand-drawn sketches, still is a big challenge. This paper proposes the
use of visual attention to estimate the relative importance of some regions in a given query image. Recently,
researchers used different databases in specific domains to validate their hypothesis. In this paper, we also propose
a database with multiple image domains, called UFU-DDD. We used the UFU-DDD database to demonstrate
the performance and accuracy gains from the association of visual attention with orientation-based feature
descriptors. The analysis of the results showed that our approach outperforms all the standard descriptors used in
the experiments. We hope the UFU-DDD database constitutes a valuable benchmark to the future research in
cross-domain similarity searching.2014-01-01T00:00:00Zde Melo, Ernani Viriatode Amo, SandraGuliato, DeniseA Visuomotor Coordination Model for Obstacle Recognition
http://hdl.handle.net/11025/11902
Název: A Visuomotor Coordination Model for Obstacle Recognition
Autoři: Iwao, Tomoyori; Kubo, Hiroyuki; Maejima, Akinobu; Morishima, Shigeo
Editoři: Skala, Václav
Abstrakt: In this paper, we propose a novel method for animating CG characters that while walking or running pay heed to
obstacles. Here, our primary contribution is to formulate a generic visuomotor coordination model for obstacle
recognition with whole body movements. In addition, our model easily generates gaze shifts, which expresses
the individuality of characters. Based on experimental evidence, we also incorporate the coordination of eye
movements in response to obstacle recognition behavior via simple parameters related to the target position and
individuality of the characters’s gaze shifts. Our overall model can generate plausible visuomotor coordinated
movements in various scenes by manipulating parameters of our proposed functions.2014-01-01T00:00:00ZIwao, TomoyoriKubo, HiroyukiMaejima, AkinobuMorishima, Shigeo