6533b870fe1ef96bd12cfaac
RESEARCH PRODUCT
A new method for linear affine self-calibration of stationary zooming stereo cameras
Adlane HabedBoubakeur BoufamaTarik Elamsysubject
Stereo camerasbusiness.industry3D reconstructionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONIterative reconstructionAffine shape adaptationComputer Science::GraphicsComputer Science::Computer Vision and Pattern RecognitionLinear algebraComputer visionAffine transformationArtificial intelligenceZoombusinessStereo cameraComputingMethodologies_COMPUTERGRAPHICSMathematicsdescription
This paper presents a simple, yet effective, method to recover the affine structure of a scene from a (stereo) pair of stationary zooming cameras. The proposed method solely relies on point correspondences across images and no knowledge about the scene whatsoever is required. Our method exploits implicit properties of the projective camera matrices of zooming cameras and allows to estimate the affine structure of a scene by solving a linear system of equations. The 3D reconstruction results obtained by using our method, on both real and simulated data, have remarkably validated its feasibility.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2012-09-01 | 2012 19th IEEE International Conference on Image Processing |