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DAGM
1997
Springer
15 years 11 months ago
A Feature Map Approach to Real-Time 3-D Object Pose Estimation from Single 2-D Perspective Views
A novel approach to the computation of an approximate estimate of spatial object pose from camera images is proposed. The method is based on a neural network that generates pose hy...
S. Winkler, Patrick Wunsch, Gerd Hirzinger
AAAI
1993
15 years 8 months ago
Learning Object Models from Appearance
We address the problem of automatically learning object models for recognition and pose estimation. In contrast to the traditional approach, we formulate the recognition problem a...
Hiroshi Murase, Shree K. Nayar
ICIP
2009
IEEE
15 years 5 months ago
Category sensitive codebook construction for object category recognition
Recently, the bag of visual words based image representation is getting popular in object category recognition. Since the codebook of the bag-of-words (BOW) based image representa...
Chunjie Zhang, Jing Liu, Yi Ouyang, Qi Tian, Hanqi...
ICCV
2011
IEEE
14 years 7 months ago
Adaptive Deconvolutional Networks for Mid and High Level Feature Learning
We present a hierarchical model that learns image decompositions via alternating layers of convolutional sparse coding and max pooling. When trained on natural images, the layers ...
Matthew D. Zeiler, Graham W. Taylor, Rob Fergus
ICIP
2006
IEEE
16 years 9 months ago
Adaptive Region-Based Compression of Multispectral Images
The region-based description of multispectral images enables important high-level tasks such as data mining and retrieval, and region-of-interest selection. In order to obtain an ...
Marco Cagnazzo, Raffaele Gaetano, Sara Parrilli, L...