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» Creating Generative Models from Range Images
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ICPR
2006
IEEE
16 years 7 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
ISBI
2006
IEEE
16 years 7 months ago
A fast and robust ODF estimation algorithm in Q-ball imaging
We propose a simple and straightforward analytic solution for the Q-ball reconstruction of the diffusion orientation distribution function (ODF) of the underlying fiber population...
Maxime Descoteaux, Elaine Angelino, Shaun Fitzgibb...
SIMVIS
2007
15 years 8 months ago
Clipmap-based Terrain Data Synthesis
Satellite images of the earth are currently commercially available in resolutions from 14.25m (Landsat 7) up to 0.61m (QuickBird). Visualizing large terrains or whole planets at t...
Malte Clasen, Hans-Christian Hege
FGR
2006
IEEE
157views Biometrics» more  FGR 2006»
16 years 17 days ago
Evaluating Error Functions for Robust Active Appearance Models
Active appearance models (AAMs) are generative parametric models commonly used to track faces in video sequences. A limitation of AAMs is they are not robust to occlusion. A recen...
Barry-John Theobald, Iain Matthews, Simon Baker
TIP
2010
255views more  TIP 2010»
15 years 1 months ago
Image Super-Resolution Via Sparse Representation
This paper presents a new approach to single-image superresolution, based on sparse signal representation. Research on image statistics suggests that image patches can be wellrepre...
Jianchao Yang, John Wright, Thomas S. Huang, Yi Ma