[IPOL announce] new article: The Orthographic Projection Model for Pose Calibration of Long Focal Images

[announcements about the IPOL journal]

A new article is available in IPOL: http://www.ipol.im/pub/art/2019/248/

Laura F. Julià, Pascal Monasse, and Marc Pierrot-Deseilligny,
The Orthographic Projection Model for Pose Calibration of Long Focal 
Images,
Image Processing On Line, 9 (2019), pp. 231–250.
https://doi.org/10.5201/ipol.2019.248

Abstract
Most stereovision and Structure from Motion (SfM) methods rely on the 
pinhole camera model based on perspective projection. From this 
hypothesis the fundamental matrix and the epipolar constraints are 
derived, which are the milestones of pose estimation. In this article we 
present a method based on the matrix factorization due to Tomasi and 
Kanade that relies on a simpler camera model, resulting in orthographic 
projection. This method can be used for the pose estimation of 
perspective cameras in configurations where other methods fail, in 
particular, when using cameras with long focal length lenses. We show 
this projection is an approximation of the pinhole camera model when the 
camera is far away from the scene. The performance of our implementation 
of this pose estimation method is compared to that given by the 
perspective-based methods for several configurations using both 
synthetic and real data. We show through some examples and experiments 
that the accuracy achieved and the robustness of this method make it 
worth considering in any SfM procedure.