The estimation of quantitative ranges of invariance in visual perception
Chikhman, V. N. and Shelepin, Yuri and Vakhrameeva, O. and Pronin, Sergey and Foreman, Nigel and Passmore, Peter J. (2009) The estimation of quantitative ranges of invariance in visual perception. Perception, 38 . ISSN 0301-0066
Full text is not in this repository.
This item is available in the Library Catalogue
To determine the quantitative ranges of invariance in the visual perception of objects viewed at different distances and different viewing angles, we have provided a set of psychophysical measurements of recognition thresholds of incomplete line drawings (Gollin-test) with different sizes and rotations. New experimental data are presented, relating invariance to image size transformation and image rotation. We demonstrated that there is a wide range of angular sizes (from 1.0 up to 50 deg) across which the threshold of recognition of incomplete images does not depend on object size. However, there was found to be a narrow range of small stimulus sizes (0.19 - 1.0 deg) within which there was found to be a dependence of performance on object size. In additional experiments with naive participants, we extended our earlier investigations (Chikhman et al, 2008 Perception 37 Supplement, 119) by making more exact threshold measurements for the recognition of 3-D objects when viewed as incomplete 2-D images, varying the perspective of 3-D objects during testing. The possible algorithms for template formation for 3-D objects in the human visual system are discussed and modeled, taking into account the invariance mechanism.
European Conference on Visual Perception.
24-28 Aug, 2009.
|Research Areas:||A. > School of Science and Technology > Computer Science|
A. > School of Science and Technology > Computer Science > Artificial Intelligence group
|Citations on ISI Web of Science:||0|
|Deposited On:||03 Dec 2009 06:53|
|Last Modified:||24 Mar 2015 11:20|
Repository staff only: item control page
Full text downloads (NB count will be zero if no full text documents are attached to the record)
Downloads per month over the past year