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» Object Recognition by Implicit Invariants
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ECCV
2004
Springer
14 years 9 months ago
A Statistical Model for General Contextual Object Recognition
We consider object recognition as the process of attaching meaningful labels to specific regions of an image, and propose a model that learns spatial relationships between objects....
Peter Carbonetto, Nando de Freitas, Kobus Barnard
ECCV
2004
Springer
14 years 9 months ago
Weak Hypotheses and Boosting for Generic Object Detection and Recognition
In this paper we describe the first stage of a new learning system for object detection and recognition. For our system we propose Boosting [5] as the underlying learning technique...
Andreas Opelt, Michael Fussenegger, Axel Pinz, Pet...
ICCV
2011
IEEE
12 years 7 months ago
Ask the locals: multi-way local pooling for image recognition
Invariant representations in object recognition systems are generally obtained by pooling feature vectors over spatially local neighborhoods. But pooling is not local in the featu...
Y-Lan Boureau, Nicolas Le Roux, francis bach, Jean...
ICRA
2010
IEEE
147views Robotics» more  ICRA 2010»
13 years 6 months ago
Feature detection and matching in images with radial distortion
— Image keypoints are broadly used in robotics for different purposes, ranging from recognition to 3D reconstruction, passing by SLAM and visual servoing. Robust keypoint matchin...
Miguel Lourenço, João P. Barreto, Ab...
ECCV
2010
Springer
13 years 8 months ago
Image Invariants for Smooth Reflective Surfaces
Image invariants are those properties of the images of an object that remain unchanged with change in camera parameters, illumination etc. In this paper, we derive an image invari...