Authors:
Norio Tagawa
and
Shoei Koizumi
Affiliation:
Tokyo Metropolitan University, Japan
Keyword(s):
Direct Shape Recovery fromMotion, GradientMethod, Random CameraMotions, Fixational EyeMovements.
Abstract:
The gradient-based depth from motion method is effective for obtaining a dense depth map. However, the
accuracy of the depth map recovered only from two successive images is not so high, and hence, to increase
the depth information by tracking corresponding image points through an image sequence is often performed
by using, for example, the Kalman filter-like technique. Alternatively, multiple image pairs generated by
random small camera rotations around a reference direction can be used for gaining much information of
depth without such the tracking procedure. In the framework of this strategy, in this study, to further improve
the accuracy, we propose a selective use of the optimal image resolution. The appropriate resolution image
is required to have a linear intensity pattern which is the most important supposition for the gradient method
often used for dense depth recovery based on the theory of “shape from motion.” The performance of our
proposal is examined through numerical e
valuations using artificial images.
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