Authors:
Bertrand Vandeportaele
1
;
Philippe-Antoine Gohard
2
;
Michel Devy
1
and
Benjamin Coudrin
3
Affiliations:
1
LAAS-CNRS, France
;
2
LAAS-CNRS and Innersense, France
;
3
Innersense, France
Keyword(s):
Rolling Shutter, Camera Geometric Model, Perspective n-Points Algorithm, Simultaneous Localization and Mapping, B-splines interpolation.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Applications and Services
;
Computer Vision, Visualization and Computer Graphics
;
Entertainment Imaging Applications
;
Geometry and Modeling
;
Image Formation and Preprocessing
;
Image Formation, Acquisition Devices and Sensors
;
Image-Based Modeling
;
Motion, Tracking and Stereo Vision
;
Pattern Recognition
;
Software Engineering
;
Stereo Vision and Structure from Motion
;
Tracking and Visual Navigation
Abstract:
Rolling Shutter (RS) cameras are predominant in the tablet and smartphone market due to their low cost and small size. However, these cameras require specific geometric models when either the camera or the scene is in motion to account for the sequential exposure of the different lines of the image. This paper proposes to improve a state-of-the-art model for RS cameras through the use of Non Uniformly Time-Sampled B-splines. This allows to interpolate the pose of the camera taking into account the varying dynamic of the motion by adding more control points where needed while keeping a low number of control points where the motion is smooth. Two methods are proposed to determine adequate distributions for the control points, using either an IMU sensor or an iterative reprojection error minimization. Results on simple synthetic data sets are shown to prove the concept and future works are introduced that should lead to the integration of our model in a SLAM algorithm.