Model-Based Plane-Segmentation Using Optical Flow and Dominant Plane
Naoya Ohnishi, Atsushi Imiya
MIRAGE 2007: Computer Vision/Computer Graphics Collaboration Techniques, March 2007, pp. 295--306.
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.
Article URL: http://dx.doi.org/10.1007/978-3-540-71457-6_27
BibTeX format:
@incollection{Ohnishi:2007:MPU,
  author = {Naoya Ohnishi and Atsushi Imiya},
  title = {Model-Based Plane-Segmentation Using Optical Flow and Dominant Plane},
  booktitle = {MIRAGE 2007: Computer Vision/Computer Graphics Collaboration Techniques},
  pages = {295--306},
  month = mar,
  year = {2007},
}
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