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ICCV
2005
IEEE
15 years 11 months ago
Contour-Based Learning for Object Detection
We present a novel categorical object detection scheme that uses only local contour-based features. A two-stage, partially supervised learning architecture is proposed: a rudiment...
Jamie Shotton, Andrew Blake, Roberto Cipolla
ACCV
2009
Springer
15 years 4 months ago
Human Action Recognition under Log-Euclidean Riemannian Metric
This paper presents a new action recognition approach based on local spatio-temporal features. The main contributions of our approach are twofold. First, a new local spatio-tempora...
Chunfeng Yuan, Weiming Hu, Xi Li, Stephen J. Mayba...
ICPR
2006
IEEE
16 years 7 months ago
Box-like Superquadric Recovery in Range Images by Fusing Region and Boundary Information
This work contributes to the robotic bin-picking problem, and more specifically to the problem of localizing piled box-like objects. We employ range imagery, and use box-like Supe...
Dimitrios I. Kosmopoulos, Dimitrios Katsoulas
EVOW
2005
Springer
15 years 11 months ago
Automated Photogrammetric Network Design Using the Parisian Approach
We present a novel camera network design methodology based on the Parisian approach to evolutionary computation. The problem is partitioned into a set of homogeneous elements, whos...
Enrique Dunn, Gustavo Olague, Evelyne Lutton
ICCV
2011
IEEE
14 years 6 months ago
The NBNN kernel
Naive Bayes Nearest Neighbor (NBNN) has recently been proposed as a powerful, non-parametric approach for object classification, that manages to achieve remarkably good results t...
Tinne Tuytelaars, Mario Fritz, Kate Saenko, Trevor...