Space variant representations for mobile platform vision applications

Authors:
Naveen Onkarappa;Angel D. Sappa
Affiliations:
Computer Vision Center, Edifici O, Campus UAB, Bellaterra, Barcelona, Spain;Computer Vision Center, Edifici O, Campus UAB, Bellaterra, Barcelona, Spain
Venue:
CAIP'11 Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part II
Year:
2011

Citing 11
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Abstract

The log-polar space variant representation, motivated by biological vision, has been widely studied in the literature. Its data reduction and invariance properties made it useful in many vision applications. However, due to its nature, it fails in preserving features in the periphery. In the current work, as an attempt to overcome this problem, we propose a novel space-variant representation. It is evaluated and proved to be better than the log-polar representation in preserving the peripheral information, crucial for on-board mobile vision applications. The evaluation is performed by comparing log-polar and the proposed representation once they are used for estimating dense optical flow.