Closed form solutions to image flow equations for planar surfaces in motion
Computer Vision, Graphics, and Image Processing
Structure and motion from optical flow under orthographic projection
Computer Vision, Graphics, and Image Processing
Structure and motion from optical flow under perspective projection
Computer Vision, Graphics, and Image Processing
Camera rotation invariance of image characteristics
Computer Vision, Graphics, and Image Processing
Constraints on length and angle
Computer Vision, Graphics, and Image Processing
3D Euclidean Versus 2D Non-Euclidean: Two Approaches to 3D Recovery from Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Plenoptic modeling: an image-based rendering system
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
Unbiased Estimation and Statistical Analysis of 3-D Rigid Motion from Two Views
IEEE Transactions on Pattern Analysis and Machine Intelligence
2.1 depth estimation of frames in image sequences using motion occlusions
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume Part III
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The effect of camera rotation on the description of optical flow generated by a planar surface in motion is treated. A transformation law for the parameters is given explicitly by analyzing infinitesimal generators and irreducibly reducing the induced representation of the 3-D rotation group SO(3). The parameter space is decomposed into invariant subspaces, and the optical flow resulting from planar surface motion is accordingly decomposed into two parts, from which an invariant basis is deduced. A procedure is presented to test the equivalence of two optical flows and to reconstruct the camera rotation. The relationship with the analytical expressions for 3-D recovery is discussed.