By Peter W. Hawkes
Advances in Imaging and Electron Physics features state-of-the-art articles at the physics of electron units (especially semiconductor devices), particle optics at low and high energies, microlithography, photo technology and electronic photograph processing, electromagnetic wave propagation, electron microscopy, and the computing equipment utilized in these kind of domain names.
Key beneficial properties:
* Contributions from best professionals * Informs and updates on the entire most recent advancements within the box
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Extra resources for Advances in Imaging and Electron Physics, Volume 178
For prerecorded spatio-temporal image data such as video, we may in principle assume access to image information in all temporal moments simultaneously and thereby apply similar types of operations as are used for processing purely spatial image data. For real-time vision or when modeling biological vision, there is, however, no way of having access to the future, which imposes fundamental additional structural requirements on a spatio-temporal visual front-end. In this section, we shall develop a set of spatio-temporal scale-space axioms that can be used when processing prerecorded image data in an ofﬂine situation, where temporal causality can be disregarded.
If we approximate the 23 Generalized Axiomatic Scale-Space Theory nonlinear perspective mapping from a surface pattern in the world to the image plane by a local linear transformation (the derivative), then we can model this deformation by a local afﬁne transformation: f0 ¼ Af corresponding to f 0 ðx0 Þ ¼ f ðxÞ with x0 ¼ A x þ b: (30) A natural requirement for a vision system that observes objects whose projections on the image plane are being deformed in different ways depending on the viewing conditions, is that the vision system should be able to relate or match the different internal representations of external objects that are acquired under different viewing directions.
Speciﬁcally, it was shown in Laptev & Lindeberg (2004c), Lindeberg et al.
Advances in Imaging and Electron Physics, Volume 178 by Peter W. Hawkes