Signal Processing

Download Advances in Imaging and Electron Physics, Volume 178 by Peter W. Hawkes PDF

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, photograph technological know-how and electronic photo processing, electromagnetic wave propagation, electron microscopy, and the computing tools utilized in a majority of these domain names.

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* Contributions from best specialists * Informs and updates on the entire most up-to-date advancements within the box

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Extra resources for Advances in Imaging and Electron Physics, Volume 178

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Note how this leads to a major compensation for the perspective foreshortening, which can be used for significantly improving the performance of methods for image matching and object recognition under perspective projection. With regard to receptive fields, the use of an affine family of receptive field profiles makes it possible to define image operations in the image domain that are equivalent to the use of receptive fields based on rotationally symmetrical smoothing operations in an affine-invariant reference frame.

2013 Tony Lindeberg. ) 32 Tony Lindeberg of computing scale-invariant interest points from such Gaussian derivative operators of second order and applying this operation to different images of the same scene taken with different amount of zooming. The good repeatability properties of these interest points under changing camera zoom, alternatively changing virtual distance between the object and the observer, are a consequence to the scale invariant properties of the scale selection mechanism used in the interest point detectors, which in turn is founded on the covariance properties of the underlying receptive fields under scaling transformations.

Special Scale-Space Axioms for a Time-Causal Spatio-Temporal Domain When processing spatio-temporal image data in a real-time scenario, the following additional temporal and spatio-temporal requirements are needed instead: Temporal causality For a vision system that interacts with the environment in a real-time setting, a fundamental constraint on the convolution kernels (the spatio-temporal receptive fields) is that there is no way of having access to future information, which implies that the temporal smoothing kernels must be time-causal in the sense that the convolution kernel must be zero for any relative time moment that would imply access to the future: Tðx; t; s; sÞ ¼ 0 if t < 0: (92) Note that the possibly pragmatic solution of using a truncated symmetric filter of finite support in combination with a temporal delay is not appropriate for a time-critical real-time system, since it would lead to unnecessarily long time delays, particularly at coarser temporal scales.

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