A Flexible New Technique for Camera Calibration
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiple view geometry in computer visiond
Multiple view geometry in computer visiond
Epipolar Geometry from Profiles under Circular Motion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Camera Pose Estimation and Reconstruction from Image Profiles under Circular Motion
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IEEE Transactions on Pattern Analysis and Machine Intelligence
Self-Calibration of Turntable Sequences from Silhouettes
IEEE Transactions on Pattern Analysis and Machine Intelligence
1D Camera Geometry and Its Application to the Self-Calibration of Circular Motion Sequences
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiple View Geometries for Mirrors and Cameras
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
Shape-from-Silhouette with two mirrors and an uncalibrated camera
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part II
Geometry of single axis motions using conic fitting
IEEE Transactions on Pattern Analysis and Machine Intelligence
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This paper addresses the problem of self-calibration and motion recovery from a single snapshot obtained under a setting of two mirrors. The mirrors are able to show five views of an object in one image. In this paper, the epipoles of the real and virtual cameras are firstly estimated from the intersection of the bitangent lines between corresponding images, from which we can easily derive the horizon of the camera plane. The imaged circular points and the angle between the mirrors can then be obtained from equal angles between the bitangent lines, by planar rectification. The silhouettes produced by reflections can be treated as a special circular motion sequence. With this observation, technique developed for calibrating a circular motion sequence can be exploited to simplify the calibration of a single-view two-mirror system. Different from the state-of-the-art approaches, only one snapshot is required in this work for self-calibrating a natural camera and recovering the poses of the two mirrors. This is more flexible than previous approaches which require at least two images. When more than a single image is available, each image can be calibrated independently and the problem of varying focal length does not complicate the calibration problem. After the calibration, the visual hull of the objects can be obtained from the silhouettes. Experimental results show the feasibility and the preciseness of the proposed approach.