A direct method on camera’s ego-motion estimation using normal flows

Miao Liu; Ding Yuan

doi:10.1117/12.2031842

26 October 2013 A direct method on camera’s ego-motion estimation using normal flows

Miao Liu, Ding Yuan

Proceedings Volume 8918, MIPPR 2013: Automatic Target Recognition and Navigation; 89180N (2013) https://doi.org/10.1117/12.2031842
Event: Eighth International Symposium on Multispectral Image Processing and Pattern Recognition, 2013, Wuhan, China

Abstract

In this paper, we propose a novel method to estimate the camera’s ego-motion parameters by directly using the normal flows. Normal flows, the projection of the optical flows along the direction of the gradient of image intensity, could be calculated directly from the image sequence without any artificial assumptions about the captured scene. Different from many traditional approaches which tackle the problem by establishing motion correspondences or by estimating optical flows, our proposed method could obtain the motion parameters directly by using the information of spatio-temporal gradient of the image intensity. Hence, our method requires no specific assumptions about the captured scene, such as the smoothness constraint, continuity constraint, distinct features appearing in the scene and etc.. Our method has been experimentally tested by using both synthetic image data and real image sequences. The experimental results demonstrate that our proposed method is feasible and reliable.

Citation Download Citation

Miao Liu and Ding Yuan "A direct method on camera’s ego-motion estimation using normal flows", Proc. SPIE 8918, MIPPR 2013: Automatic Target Recognition and Navigation, 89180N (26 October 2013); https://doi.org/10.1117/12.2031842

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KEYWORDS

Cameras

Motion estimation

Phase transfer function

Optical flow

Direct methods

Machine vision

Computer vision technology

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