Active Contours: The Application of Techniques from by Andrew Blake

By Andrew Blake

Lively Contours offers with the research of relocating photographs - a subject matter of starting to be significance in the special effects undefined. specifically it truly is thinking about figuring out, specifying and studying previous versions of various energy and making use of them to dynamic contours. Its objective is to increase and examine those modelling instruments extensive and inside of a constant framework.

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Extra resources 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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The book is then divided into two parts. Part I deals with the fundamentals of representing curves geometrically using splines, including basic machinery for leastsquares approximation of spline functions, an essential topic not normally dealt with in graphics texts. Chapter 4 lays out a design methodology for linear, image-based, parametric models of shape, an important tool in applying shape constraints. Then algorithms for image processing and fitting splines to image features are introduced, leading to practical deformable templates in chapter 6.

And Metaxas, D. (1991). Dynamic 3D models with local and global deformations: deformable superquadrics. IEEE Trans. on Pattern Analysis and Machine Intelligence, 13, 7. Terzopoulos, D. and Szeliski, R. (1992). Tracking with Kalman snakes. In Blake, A. , editors, Active Vision, 3–20. MIT. Terzopoulos, D. and Waters, K. (1990). Analysis of facial images using physical and anatomical models. In Proc. 3rd Int. Conf. on Computer Vision, 727–732. Terzopoulos, D. and Waters, K. (1993). Analysis and synthesis of facial image sequences using physical and anatomical models.

Defining a prior distribution for shape is only part of the problem. The complete image interpretation task is to modify the prior distribution to take account of image features, arriving at a “posterior” distribution for what shape is actually likely to be present in a particular image. Mechanisms for fusing a prior distribution with “observations” are of crucial importance. Suffice it to say here that a key idea of pattern theory is “recognition by synthesis,” in which predictions of likely shapes, based on the prior distribution, are tested against a particular image.

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