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» Object detection at multiple scales improves accuracy
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ICPR
2008
IEEE
15 years 11 months ago
Improved document image binarization by using a combination of multiple binarization techniques and adapted edge information
This paper presents a new adaptive approach for document image binarization. The proposed method is mainly based on the combination of several stateof-the-art binarization methodo...
Basilios Gatos, Ioannis Pratikakis, Stavros J. Per...
ICCV
2009
IEEE
16 years 2 months ago
Multi-Scale Object Detection by Clustering Lines
Object detection in cluttered, natural scenes has a high complexity since many local observations compete for object hypotheses. Voting methods provide an efficient solution to ...
Bjorn Ommer, Jitendra Malik
ISMAR
2008
IEEE
15 years 4 months ago
Multiple 3D Object tracking for augmented reality
We present a method that is able to track several 3D objects simultaneously, robustly, and accurately in real-time. While many applications need to consider more than one object i...
Youngmin Park, Vincent Lepetit, Woontack Woo
PRIS
2001
14 years 11 months ago
Improving the Robustness of Parametric Shape Tracking with Switched Multiple Models
This paper addresses the problem of tracking objects with complex motion dynamics or shape changes. It is assumed that some of the visual features detected in the image (e.g., edg...
Jacinto C. Nascimento, Jorge S. Marques
IROS
2006
IEEE
274views Robotics» more  IROS 2006»
15 years 3 months ago
Adaptive Scale Robust Segmentation for 2D Laser Scanner
Abstract— This paper presents a robust algorithm for segmentation and line detection in 2D range scans. The described method exploits the multimodal probability density function ...
Ruben Martinez-Cantin, José A. Castellanos,...