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» Image Categorization Using Local Probabilistic Descriptors
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PRL
2007
166views more  PRL 2007»
13 years 7 months ago
Boosted Landmarks of Contextual Descriptors and Forest-ECOC: A novel framework to detect and classify objects in cluttered scene
In this paper, we present a novel methodology to detect and recognize objects in cluttered scenes by proposing boosted contextual descriptors of landmarks in a framework of multi-...
Sergio Escalera, Oriol Pujol, Petia Radeva
ECCV
2008
Springer
14 years 9 months ago
A Pose-Invariant Descriptor for Human Detection and Segmentation
We present a learning-based, sliding window-style approach for the problem of detecting humans in still images. Instead of traditional concatenation-style image location-based feat...
Zhe Lin, Larry S. Davis
ICIP
2007
IEEE
14 years 9 months ago
A New Descriptor for 2D Depth Image Indexing and 3D Model Retrieval
We present here a new descriptor for depth images adapted to 2D/3D model matching and retrieving. We propose a representation of a 3D model by 20 depth images rendered from the ve...
Mohamed Chaouch, Anne Verroust-Blondet
ICIP
2007
IEEE
14 years 2 months ago
Key-Places Detection and Clustering in Movies Using Latent Aspects
We describe a new method to find and cluster recurrent keyplaces in a movie. It consists of an unsupervised classification of shots that are taking place in the same physical loca...
Maguelonne Héritier, Samuel Foucher, Langis...
DAGM
2005
Springer
14 years 1 months ago
Vision-Based 3D Object Localization Using Probabilistic Models of Appearance
The ability to accurately localize objects in an observed scene is regarded as an important precondition for many practical applications including automatic manufacturing, quality ...
Christian Plagemann, Thomas Müller, Wolfram B...