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» Testing of Image Processing Algorithms on Synthetic Data
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143
Voted
ICCV
2009
IEEE
15 years 9 months ago
Joint Pose Estimator and Feature Learning for Object Detection
A new learning strategy for object detection is presented. The proposed scheme forgoes the need to train a collection of detectors dedicated to homogeneous families of poses, an...
Karim Ali, Francois Fleuret, David Hasler and Pasc...
224
Voted
DAGM
2006
Springer
15 years 7 months ago
Near Real-Time Motion Segmentation Using Graph Cuts
We present a new approach to integrated motion estimation and segmentation by combining methods from discrete and continuous optimization. The velocity of each of a set of regions ...
Thomas Schoenemann, Daniel Cremers
ICASSP
2010
IEEE
15 years 3 months ago
Adaptive anisotropic regularization of deformation fields for non-rigid registration using the morphon framework
Image registration is a crucial task in many applications and applied in a variety of different areas. In addition to the primary task of image alignment, the deformation field i...
Daniel Forsberg, Mats T. Andersson, Hans Knutsson
145
Voted
ICASSP
2011
IEEE
14 years 7 months ago
Supervised nonlinear spectral unmixing using a polynomial post nonlinear model for hyperspectral imagery
This paper studies a hierarchical Bayesian model for nonlinear hyperspectral image unmixing. The proposed model assumes that the pixel reflectances are polynomial functions of li...
Yoann Altmann, Abderrahim Halimi, Nicolas Dobigeon...
ICCV
2007
IEEE
16 years 5 months ago
Uninitialized, Globally Optimal, Graph-Based Rectilinear Shape Segmentation The Opposing Metrics Method
We present a new approach for the incorporation of shape information into a segmentation algorithm. Unlike previous approaches to the problem, our method requires no initializatio...
Ali Kemal Sinop, Leo Grady