Real Time Stereo Image Registration for Planar Structure and 3D Sensor Pose Estimation

Dornaika, Fadi; Sappa, Ángel D.

doi:10.5772/5895

Cited by 2 publications

(1 citation statement)

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“…In the studies [4,5,6,7], extraction of objects is achieved using projection matrix and posture of the objects which are calculated by using some corresponding feature points between images. In the studies [8,9,10,11,12], planar regions are estimated from similarity between projective transformation images. Recently, Taeda et al [13] proposed the planar objects extraction method using graph-cut segmentation.…”

Section: Introductionmentioning

confidence: 99%

Building Facades Extraction from on-Vehicle Camera Images in a Graph-Cut-Based Optimization Framework

Kawano

Orii

Fukuda

et al. 2011

AMM

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In this paper, a method to extract building wall textures from an on-vehicle camera imagesis proposed as an aid to construct the 3D maps. The building wall textures are required to attach to 3Dpolygons which are obtained through 3D measurements in urban space.We assume that the on-vehiclecamera is under linear uniform motion and building walls are planar regions perpendicular to the opti-cal axis. Under the assumption, the same building wall region has the same depth, or disparities, overthe region among successive images. Since disparities derived from foreground objects are differentfrom the disparities derived from the building wall, we can use the disparity differences as a clue toeffectively distinguish the building walls from the foreground objects. We formulate the extractionof building wall textures incorporating these consideration as an optimization problem which can besolved by graph-cut algorithm. To show the effectiveness of the proposed method, it is applied to somesequential scenes.

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