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RISS 인기검색어
- 검색키워드
- 저자 : Ayman F. Habib (검색결과 2 건)
- 무료
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Epipolar Geometry of Line Cameras Moving with Constant Velocity and Attitude
Ayman F. Habib,정수,Michel F. Morgan,Kyung-Ok Kim 한국전자통신연구원 2005 ETRI Journal Vol.27 No.2
Image resampling according to epipolar geometry is an important prerequisite for a variety of photogrammetric tasks. Established procedures for resampling frame images according to epipolar geometry are not suitable for scenes captured by line cameras. In this paper, the mathematical model describing epipolar lines in scenes captured by line cameras moving with constant velocity and attitude is established and analyzed. The choice of this trajectory is motivated by the fact that many line cameras can be assumed to follow such a flight path during the short duration of a scene capture (especially when considering space-borne imaging platforms). Experimental results from synthetic along-track and across-track stereo-scenes are presented. For these scenes, the deviations of the resulting epipolar lines from straightness, as the camera’s angular field of view decreases, are quantified and presented.
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Algorithms for Multi-sensor and Multi-primitive Photogrammetric Triangulation
신성웅,김창재,Ayman F. Habib,Mwafag Ghanma,Eui-Myoung Kim 한국전자통신연구원 2007 ETRI Journal Vol.29 No.4
The steady evolution of mapping technology is leading to an increasing availability of multi-sensory geo-spatial datasets, such as data acquired by single-head frame cameras, multi-head frame cameras, line cameras, and light detection and ranging systems, at a reasonable cost. The complementary nature of the data collected by these systems makes their integration to obtain a complete description of the object space. However, such integration is only possible after accurate co-registration of the collected data to a common reference frame. The registration can be carried out reliably through a triangulation procedure which considers the characteristics of the involved data. This paper introduces algorithms for a multi-primitive and multi-sensory triangulation environment, which is geared towards taking advantage of the complementary characteristics of spatial data available from the above mentioned sensors. The triangulation procedure ensures the alignment of involved data to a common reference frame. The devised methodologies are tested and proven efficient through experiments using real multi-sensory data.
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