Self-Calibration from Multiple Views with a Rotating Camera

Self - calibration of an A ne Camera from Multiple

A key limitation of all existing algorithms for shape and motion from image sequences under orthographic, weak perspective and para-perspective projection is that they require the calibration parameters of the camera. We present in this paper a new approach that allows the shape and motion to be computed from image sequences without having to know the calibration parameters. This approach is de...

New dynamic zoom calibration technique for a stereo-vision based multi-view 3D modeling system

A new technique is proposed for calibrating a 3D modeling system with variable zoom based on multi-view stereo image analysis. The 3D modeling system uses a stereo camera with variable zoom setting and a turntable for rotating an object. Given an object whose complete 3D model (mesh and texture-map) needs to be generated, the object is placed on the turntable and stereo images of the object are...

Camera Self - Calibration from Multiple Views

CMSC733: Camera Calibration Techniques

Camera calibration is the process of estimating the parameters of the camera. There are two sets of parameters for a camera: intrinsic parameters, and extrinsic parameters. It is generally assumed that we know the coordinates of a set of points in the world reference frame and their corresponding points in one or more images. The notations used and the general problem of calibration is describe...

The Role of Self-Calibration in Euclidean Reconstruction from Two Rotating and Zooming Cameras

Reconstructing the scene from image sequences captured by moving cameras with varying intrinsic parameters is one of the major achievements of computer vision research in recent years. However, there remain gaps in the knowledge of what is reliably recoverable when the camera motion is constrained to move in particular ways. This paper considers the special case of multiple cameras whose optic ...