Line matching in widely separated views is challenging because of large perspective distortion and violation of the planarity assumption in local regions. We introduce a novel method of wide-baseline image matching based on the coplanar line intersections for poorly textured and/or nonplanar structured scenes. The local areas of the coplanar line pairs are normalized into canonical frames by rectifying the coplanar line pairs to be orthogonal. Then, the 3D interpretation of the intersection context of the coplanar line pairs helps to match the nonplanar local regions. Furthermore, for calibrated stereo cameras, we propose a matching criterion based on 3D planar homography to improve the matching accuracy while reconstructing most likely physically existing planar patches. Experimental results demonstrate the effectiveness of the proposed method for real-world scenes.
© 2014 Optical Society of America
Vision, Color, and Visual Optics
Original Manuscript: May 16, 2013
Revised Manuscript: October 30, 2013
Manuscript Accepted: December 8, 2013
Published: January 31, 2014
Hyunwoo Kim, Sukhan Lee, and Yeonho Lee, "Wide-baseline stereo matching based on the line intersection context for real-time workspace modeling," J. Opt. Soc. Am. A 31, 421-435 (2014)