Multiple view geometry in computer visiond
Multiple view geometry in computer visiond
Casting curved shadows on curved surfaces
SIGGRAPH '78 Proceedings of the 5th annual conference on Computer graphics and interactive techniques
Supporting structure from motion with a 3D-range-camera
SCIA'07 Proceedings of the 15th Scandinavian conference on Image analysis
A combined approach for estimating patchlets from PMD depth images and stereo intensity images
Proceedings of the 29th DAGM conference on Pattern recognition
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Active range cameras based on the Photonic Mixer Device (PMD) allow to capture low-resolution depth images of dynamic scenes at high frame rates. To use such devices together with high resolution optical cameras (e.g. in media production) the relative pose of the cameras with respect to each other has to be determined. This task becomes even more challenging, if the camera is to be moved and the scene is highly dynamic.We will present an efficient algorithm for the estimation of the relative pose between a single 2D3D-camera with respect to several optical cameras. The camera geometry together with an intensity consistency criterion will be used to derive a suitable cost function, which will be optimized using gradient descend. It will be shown, how the gradient of the cost function can be efficiently computed from the gradient images of the high resolution optical cameras.We will show, that the proposed method allows to track and to refine the pose of a moving 2D3D-camera for fully dynamic scenes.