Curvature Scale Space Representation: Theory, Applications, by F. Mokhtarian, M. Bober

By F. Mokhtarian, M. Bober

MPEG-7 is the 1st foreign usual which includes a few key strategies from desktop imaginative and prescient and picture Processing. The Curvature Scale area strategy was once chosen as a contour form descriptor for MPEG-7 after vast and accomplished trying out, which validated some of the best functionality of the CSS-based descriptor.

Curvature Scale house illustration: thought, purposes, and MPEG-7 Standardization relies on key guides at the CSS procedure, in addition to its a number of functions and generalizations. The objective was once to make sure that the reader can have entry to the main primary effects about the CSS process in a single quantity. those effects were labeled right into a variety of chapters to mirror their concentration in addition to content material. The publication additionally encompasses a bankruptcy at the improvement of the CSS method inside of MPEG standardization, together with information of the MPEG-7 trying out and overview approaches which resulted in the choice of the CSS form descriptor for a standard.

The ebook can be utilized as a supplementary textbook by way of any collage or establishment providing classes in laptop and knowledge technology.

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Additional resources for Curvature Scale Space Representation: Theory, Applications, and MPEG-7 Standardization (Computational Imaging and Vision)

Example text

It follows that the task of the matching algorithm is to find the correct correspondence between two sets of maxima: maxima: one from each CSS reet image. The allowed transformation from one set to the other set is mere horizontal translation. The translation parameter is computed when the first image curve CSS maximum is mapped to the first model curve CSS maximum and then then used to map each of the remaining image curve CSS maxima to the model curve CSS. CSS. The corresponding model curve CSS maximum for each mapped image curve CSS maximum should then be the closest model curve CSS maximum (and the associated cost is the Euclidean distance between them).

These maxima (excluding the ones corresponding to very small CSS contours) are small in number (from 2 to 6 for the curves used as input to our system) but have a high multi-scale discriminative power. As a result, we we believe they are the ideal feature points for the matching task considered here. It should also be pointed out that the CSS matching algorithm is a best-first algorithm which finds the best match of two CSS representations. It can be used in a serial fashion to find the best match of the image curve CSS to each of the surviving model curve CSS representations.

Investi gat ed. These properties together provide provid e asound a sound foundation for the representations repr esent ations proposed in this t his chapter. chapte r. Finally, Finally, it was shown that the proposed representations repr esentations satisfy sati sfy nearly all the th e criteria crite ria introduced earlier. Chapter 2 ROBUST FREE-FORM OBJECT RECOGNITION THROUGH CURVATURE CURVATURE SCALE SPACE Two complete and practical systems for free-form object recognition have been developed which are very robust with respect to noise and local deformations of shape (due to weak perspective distortion, segmentation segment at ion errors and non-rigid material) as weIl well as scale, position and orientation changes of the objects.

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