DEPTH PERCEPTION MODEL EXPLOITING BLURRING CAUSED BY RANDOM SMALL CAMERA MOTIONS

Norio Tagawa, Yuya Iida, Kan Okubo

2012

Abstract

The small vibration of the eye ball, which occurs when we fix our gaze on an object, is called “fixational eye movement.” It has been reported that this vibration may work not only as a fundamental function to preserve photosensitivity but also as a clue to image analysis, for example contrast enhancement and edge detection. This mechanism can be interpreted as an instance of stochastic resonance, which is inspired by biology, more specifically by neuron dynamics. Moreover, researches for a depth recovery method using camera motions based on an analogy of fixational eye movement are in progress. In this study, using camera motions especially corresponding to the smallest type of fixational eye movement called “tremor.” We have constructed the algorithms which are defined as a differential form, i.e. spatio-temporal derivatives of successive two images are analyzed. However, in these methods, observed noise of derivatives causes serious recovering error. Therefore, we newly examine a method in which a lot of images captured with the same camera motions are integrated and the observed local image blurring is analyzed for extracting depth information, and confirm its effectiveness.

References

1. Bruhn, A. and Weickert, J. (2005). Locas/kanade meets horn/schunk: combining local and global optic flow

Paper Citation

in Harvard Style

Tagawa N., Iida Y. and Okubo K. (2012). DEPTH PERCEPTION MODEL EXPLOITING BLURRING CAUSED BY RANDOM SMALL CAMERA MOTIONS . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012) ISBN 978-989-8565-03-7, pages 329-334. DOI: 10.5220/0003817403290334

in Bibtex Style

@conference{visapp12,
author={Norio Tagawa and Yuya Iida and Kan Okubo},
title={DEPTH PERCEPTION MODEL EXPLOITING BLURRING CAUSED BY RANDOM SMALL CAMERA MOTIONS},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012)},
year={2012},
pages={329-334},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003817403290334},
isbn={978-989-8565-03-7},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012)
TI - DEPTH PERCEPTION MODEL EXPLOITING BLURRING CAUSED BY RANDOM SMALL CAMERA MOTIONS
SN - 978-989-8565-03-7
AU - Tagawa N.
AU - Iida Y.
AU - Okubo K.
PY - 2012
SP - 329
EP - 334
DO - 10.5220/0003817403290334