Active Contours: The Application of Techniques from by Andrew Blake

By Andrew Blake

Active Contours offers with the research of relocating pictures - an issue of transforming into significance in the special effects undefined. particularly it truly is taken with figuring out, specifying and studying past types of various power and utilising them to dynamic contours. Its objective is to strengthen and examine those modelling instruments intensive and inside a constant framework.

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Additional info for Active Contours: The Application of Techniques from Graphics, Vision, Control Theory and Statistics to Visual Tracking of Shapes in Motion

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For now it is sufficient to say that the operator is a sub-image which is scanned over an image using "mathematical correlation" or "convolution" (this is explained in chapter 5). The mask is a prototype image, typically of small size, of the feature being sought: for a valley feature, for instance, the mask would be a V-shaped intensity function. The output of the correlation process is a measure of goodness of fit of the prototype to the image, in each of the image locations evaluated. However, feature maps are only the beginning.

Finally, it seems appropriate at least to give some pointers to approaches to visual tracking that are rather outside the active contour paradigm. , 1992; Heuring and Murray, 1996) are control theoretic approaches to visual-servoing, real-time tracking with robot hands and heads Chapter 3 Spline curves Throughout this book, visual curves are represented in terms of parametric spline curves, as is common in computer graphics. These are curves (x( s), y( s)) in which s is a parameter that increases as the curve is traversed, and x and yare particular functions of s, known as splines.

The technique of rotoscoping allows film-makers to transfer a complex object from one image sequence to another. This can be done automatically using blue-screening (Smith, 1996) if the object can be filmed against a specially prepared background. Introduction 23 Computer-aided techniques for object segmentation are also of great interest for augmented reality systems, which attach computer-generated imagery to real scenes. , 1993; Wloka and Anderson, 1995) to solve this problem, but they are inaccurate and cumbersome.

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