Active Visual Inference of Surface Shape - Roberto Cipolla Part 6 potx

Active Visual Inference of Surface Shape - Roberto Cipolla Part 6 potx

Active Visual Inference of Surface Shape - Roberto Cipolla Part 6 potx

... geometry of the surface in the vicinity of ext~vmal boundary. The surface is recovered as a family of s-parameter curves - the contour generators - and t-parameter curves - portions of the osculating ... recovering surface shape 73 Figure 3.14: Recovery of surface strip in vicinity of extremM boundary. From a minimum of three views of a curved surfa...

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Active Visual Inference of Surface Shape - Roberto Cipolla Part 14 potx

Active Visual Inference of Surface Shape - Roberto Cipolla Part 14 potx

... [ 163 ] [ ]64 ] [ 165 ] [ 166 ] [ 167 ] [ 168 ] R.S. Millman and G.D. Parker. Elements of Differential Geometry. Prentice-Hall, N J, 1977. H.P. Moravec. Visual mapping by a robot rover. In Proc. of ... Human-Computer Interaction. Proceedings, 1995. VIII, 203 pages. 1995. VOL. 10 16: R. Cipolla, Active Visual Inference of Surface Shape. XII, 194 pages. 1995. Vol....

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Active Visual Inference of Surface Shape - Roberto Cipolla Part 7 docx

Active Visual Inference of Surface Shape - Roberto Cipolla Part 7 docx

... for a: N.n p (1 - (p.m)~) a p a -~ -( 1- (p.m)2). (4.37) Differentiating (4.20) and rearranging we can recover the other component, /3: at p -2 n ~ ( 1-( p.m)2)'/2] - -( p.m) 2) p U.p] ... Sampling- Isolated texture only "samples" the surface at isolated points - the surface could have any shape in between the points. Conversely, a surfa...

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Active Visual Inference of Surface Shape - Roberto Cipolla Part 9 doc

Active Visual Inference of Surface Shape - Roberto Cipolla Part 9 doc

... image velocities can now be expressed in terms of the new parameterisation (see figure 4.12). qt- O-~s (4 .66 ) - -~ 8 ~-~ _ t+~ . (4 .67 ) Equation (4 .67 ) is simply resolving the (real) image velocity ... .~P(4.70) qtt. ap = O-ts ~'~t'~v-t-2 ~ -~ -~ t .1. -~ Apart from (~ [~) which we have seen determines the magnitude of the tan- gential component of...

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Active Visual Inference of Surface Shape - Roberto Cipolla Part 10 pptx

Active Visual Inference of Surface Shape - Roberto Cipolla Part 10 pptx

... way. 9 The axis of expansion (#) of the deformation component and the projection in the image of the direction of translation (/A) allow the recovery of the tilt of the surface (5.28). 9 ... Differential invariants of the image velocity field 127 The magnitude of the depth gradient determines the tangent of the slant of the surface (angle between the surface...

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Active Visual Inference of Surface Shape - Roberto Cipolla Part 11 pptx

Active Visual Inference of Surface Shape - Roberto Cipolla Part 11 pptx

... interpretation of random-dot stereograms have shown that even with sparse data the human visual system arrives at unique interpretations of surface shape - the perception of dense and coherent surfaces ... whereas the interpretation of the surface consistency theory is that the surface has at most one surface inflection in the absence of zero-crossings [32]. The im...

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Active Visual Inference of Surface Shape - Roberto Cipolla Part 12 pdf

Active Visual Inference of Surface Shape - Roberto Cipolla Part 12 pdf

... velocities from the output of a set of spatio-temporal filters. A bank of 24 spatio-temporal Gabor filters runs continuously in each neighbour- hood of a time-varying image. Each of the filters is tuned ... contour of objects made of gen- eralised cylinders can be used to determine the sign of curvature of the surface. The disadvantages of these methods is that they ar...

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