Jean-Michel Jolion's A Pyramid Framework for Early Vision: Multiresolutional PDF

By Jean-Michel Jolion

ISBN-10: 1461362075

ISBN-13: 9781461362074

ISBN-10: 1461527929

ISBN-13: 9781461527923

Biological visible structures hire vastly parallel processing to accomplish real-world visible initiatives in actual time. A key to this striking functionality appears that organic structures build representations in their visible picture information at a number of scales. APyramid Framework for Early Vision describes a multiscale, or `pyramid', method of imaginative and prescient, together with its theoretical foundations, a suite of pyramid-based modules for photo processing, item detection, texture discrimination, contour detection and processing, characteristic detection and outline, and movement detection and monitoring. It additionally exhibits how those modules should be applied very successfully on hypercube-connected processor networks.
A Pyramid Framework for Early Vision is meant for either scholars of imaginative and prescient and imaginative and prescient approach designers; it presents a basic method of imaginative and prescient structures layout in addition to a collection of strong, effective imaginative and prescient modules.

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2 Hierarchical multiresolution continuous signal. e. subsampling, must be preceded by a low-pass transform: G'(u) = if lui else {~(u) ::s:: Uth However, this filtering is too sensitive to the value Uth. So, it is generally replaced by a smooth filtering : G'(u) = [W . G] (u) where W is a normalized, positive, unimodal and strictly decreasing function such that W(u) == 0 for lui> Uth. The Gaussian function is such a filter. Due to the properties of the Fourier transform, we get g'(x) = [w where * g] (x) * denotes the convolution product.

4). 2 Hierarchical multiresolution 31 Moreover, note that the normalized constant is always a power of 2, thus speeding up the implementation. When working on real applications, the kernel used is rarely optimal. Indeed, the smaller the image, the more important the border effect. However, in industrial applications, the image often represents a simple scene made of objects lying on an approximately constant background. So, the image support can be considered as periodic in both dimensions. The border effects are then eliminated.

The AIS-4000 is a SIMD multi-processor made of 512 elementary processors. Its power is about 3 billion operations per second. Each of the transputers is a T-800, having 8Mbytes of local RAM memory. Three of its four links are used for interlevel communication. The last one is used for intra-level communication, and thus is limited to very special operations. Every transputer on the first level is linked to 50 A Pyramid Framework for Early Vision two groups of eight elementary processors of the AIS-4000.

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A Pyramid Framework for Early Vision: Multiresolutional Computer Vision by Jean-Michel Jolion

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