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» Learning to Estimate Scenes from Images
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CVPR
1998
IEEE
14 years 11 months ago
Histogram Model for 3D Textures
Image texture can arise not only from surface albedo variations (2D texture) but also from surface height variations (3D texture). Since the appearance of 3D texture depends on th...
Kristin J. Dana, Shree K. Nayar
ICCV
2011
IEEE
12 years 9 months ago
Image Segmentation by Figure-Ground Composition into Maximal Cliques
We propose a mid-level statistical model for image segmentation that composes multiple figure-ground hypotheses (FG) obtained by applying constraints at different locations and s...
Adrian Ion, Joao Carreira, Cristian Sminchisescu
ISMAR
2006
IEEE
14 years 3 months ago
Texture overlay for virtual clothing based on PCA of silhouettes
In this paper, we propose a method for overlaying an arbitrary texture image onto a surface of a plain T-shirt worn by a user. For overlaying arbitrary textures onto the surface o...
Jun Ehara, Hideo Saito
DAGM
2006
Springer
14 years 26 days ago
Handling Camera Movement Constraints in Reinforcement Learning Based Active Object Recognition
In real world scenes, objects to be classified are usually not visible from every direction, since they are almost always positioned on some kind of opaque plane. When moving a cam...
Christian Derichs, Heinrich Niemann
ICPR
2006
IEEE
14 years 10 months ago
Latent Layout Analysis for Discovering Objects in Images
Latent Layout Analysis (LLA) is a novel unsupervised learning technique to discover objects in unseen images using a set of un-annotated training images. LLA defines a generative ...
David Liu, Datong Chen, Tsuhan Chen