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ICIP
2008
IEEE
15 years 11 months ago
A Bayesian approach to predicting the perceived interest of objects
This paper presents an algorithm designed to compute the perceived interest of objects in images. We measured likelihood functions via a psychophysical experiment in which subject...
Srivani Pinneli, Damon M. Chandler
BVAI
2005
Springer
15 years 10 months ago
A Neural Model of Human Object Recognition Development
The human capability of recognizing objects visually is here held to be a function emerging as result of interactions between epigenetic influences and basic neural plasticity mec...
Rosaria Grazia Domenella, Alessio Plebe
140
Voted
BMCV
2000
Springer
15 years 9 months ago
Unsupervised Learning of Biologically Plausible Object Recognition Strategies
Recent psychological and neurological evidence suggests that biological object recognition is a process of matching sensed images to stored iconic memories. This paper presents a p...
Bruce A. Draper, Kyungim Baek
136
Voted
ICIP
1998
IEEE
15 years 9 months ago
Video Object Segmentation Introducing Depth and Motion Information
In the paper we present a method to estimate relative depth between objects in scenes of video sequences. The information for the estimation of the relative depth is obtained from...
Montse Pardàs
3DIM
2001
IEEE
15 years 8 months ago
Robust Recognition and Pose Determination of 3-D Objects Using Range Images in Eigenspace
In this paper we propose a robust method for recognition and pose determination of 3-D objects using range images in the eigenspace approach. Instead of computing the coefficients...
Danijel Skocaj, Ales Leonardis