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» From Images to Shape Models for Object Detection
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ECCV
2008
Springer
16 years 8 months ago
Multiple Component Learning for Object Detection
Abstract. Object detection is one of the key problems in computer vision. In the last decade, discriminative learning approaches have proven effective in detecting rigid objects, a...
Boris Babenko, Pietro Perona, Piotr Dollár,...
TITS
2011
247views more  TITS 2011»
15 years 1 months ago
Road Detection Based on Illuminant Invariance
—By using an onboard camera, it is possible to detect the free road surface ahead of the ego-vehicle. Road detection is of high relevance for autonomous driving, road departure w...
José M. Álvarez, Antonio M. Lopez
189
Voted
TOG
2008
120views more  TOG 2008»
15 years 6 months ago
Shading-based surface editing
We present a system for free-form surface modeling that allows a user to modify a shape by changing its rendered, shaded image using stroke-based drawing tools. User input is tran...
Yotam I. Gingold, Denis Zorin
MICCAI
2009
Springer
16 years 8 months ago
Automatic Extraction of Mandibular Nerve and Bone from Cone-Beam CT Data
The exact localization of the mandibular nerve with respect to the bone is important for applications in dental implantology and maxillofacial surgery. Cone beam computed tomograph...
Dagmar Kainmueller, Hans Lamecker, Heiko Seim, ...
MICCAI
2003
Springer
16 years 7 months ago
Robust Estimation for Brain Tumor Segmentation
Given models for healthy brains, tumor segmentation can be seen as a process of detecting abnormalities or outliers that are present with certain image intensity and geometric prop...
Marcel Prastawa, Elizabeth Bullitt, Sean Ho, Guido...