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» 3D Reconstruction Using Labeled Image Regions
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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
ICCV
1999
IEEE
13 years 11 months ago
Camera Calibration and the Search for Infinity
This paper considers the problem of self-calibration of a camera from an image sequence in the case where the camera's internal parameters (most notably focal length) may cha...
Richard I. Hartley, Lourdes de Agapito, Ian D. Rei...
ROBOCUP
2007
Springer
162views Robotics» more  ROBOCUP 2007»
14 years 1 months ago
Adaptive Recognition of Color-Coded Objects in Indoor and Outdoor Environments
Abstract. To achieve robust color perception under varying light conditions in indoor and outdoor environments, we propose a three-step method consisting of adaptive camera paramet...
Yasutake Takahashi, Walter Nowak, Thomas Wisspeint...

Book
5396views
15 years 6 months ago
Markov Random Field Modeling in Computer Vision
Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...
Stan Z. Li
NIPS
2001
13 years 8 months ago
The Fidelity of Local Ordinal Encoding
A key question in neuroscience is how to encode sensory stimuli such as images and sounds. Motivated by studies of response properties of neurons in the early cortical areas, we p...
Javid Sadr, Sayan Mukherjee, K. Thoresz, Pawan Sin...