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» Supervised Texture Detection in Images
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ICPR
2004
IEEE
14 years 11 months ago
Object Recognition Using Segmentation for Feature Detection
: A new method is presented to learn object categories from unlabeled and unsegmented images for generic object recognition. We assume that each object can be characterized by a se...
Andreas Opelt, Axel Pinz, Michael Fussenegger, Pet...
ICPR
2010
IEEE
13 years 8 months ago
Robust Figure Extraction on Textured Background: A Game-Theoretic Approach
Feature-based image matching relies on the assumption that the features contained in the model are distinctive enough. When both model and data present a sizeable amount of clutte...
Andrea Albarelli, Emanuele Rodolà, Alberto Cavall...
CVPR
1999
IEEE
14 years 12 months ago
Extracting Textured Vertical Facades From Controlled Close-Range Imagery
We are developing a system to extract geodetic, textured CAD models from thousands of initially uncontrolled, close-range ground and aerial images of urban scenes. Here we describ...
Satyan R. Coorg, Seth J. Teller
ICIP
2003
IEEE
14 years 11 months ago
Image orientation detection with integrated human perception cues (or which way is up)
In this paper, we propose a set of human perceptual cues used jointly to automatically detect image orientation. The cues used are: orientation of faces, position of the sky, brig...
Lei Wang, Xu Liu, Lirong Xia, Guangyou Xu, Alfred ...
MICCAI
2007
Springer
14 years 4 months ago
Robust Autonomous Model Learning from 2D and 3D Data Sets
In this paper we propose a weakly supervised learning algorithm for appearance models based on the minimum description length (MDL) principle. From a set of training images or volu...
Georg Langs, Rene Donner, Philipp Peloschek, Horst...