Abstract
In this paper, we propose an algorithm for plane segmentation using an optical flow field computed from successive images captured by an uncalibrated moving camera. The proposing method does not require any restrictions on the camera motion and the camera-configuration geometry. Our segmentation algorithm is based on the algorithm of dominant-plane detection. The dominant plane is a planar area in the world, and it corresponds to the largest part of an image. By iterative processing dominant-plane detection, our algorithm detects multiple planes in an image. We present experimental results using image sequences observed with a moving camera in a synthesized environment and a real environment.
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Ohnishi, N., Imiya, A. (2007). Model-Based Plane-Segmentation Using Optical Flow and Dominant Plane. In: Gagalowicz, A., Philips, W. (eds) Computer Vision/Computer Graphics Collaboration Techniques. MIRAGE 2007. Lecture Notes in Computer Science, vol 4418. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71457-6_27
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DOI: https://doi.org/10.1007/978-3-540-71457-6_27
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