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This paper addresses the problem of extracting view-invariant visual features for the recognition of object-directed actions and introduces a computational model of how these visual features are processed in the brain.
In this method, we first extract view features from multi-views of 3D models.
The simulation of the test circuit is done in analog level using the extracted view of the cells which are integrated with their parasitic resistors and capacitors.
In an industry example, we were able to extract views that helped us to identify a number of architecturally relevant issues (e.g., architectural style violations, behavior violations) that would not have been detected otherwise, and could have caused serious problems like system malfunctioning or unauthorized access to sensitive data.
The symmetry of the complex was determined by extracting top views of Hsp104 ΔN, randomly rotating them and subjecting them to MSA (suppl. Figure 1A).
To detect and classify traffic signs for a region of interest, it is important to extract street view images from a driver's perspective so that the traffic signs can exhibit maximum visibility.
From the theoretical point of view, extracting the descriptive features from projectile and cartridge images is an open research question in firearm identification.
The interaction data can be easily extracted and viewed graphically through 'MINT Viewer'.
Gallery data are also processed in order to extract several views for each 3D object (see Section 2).
The method makes it possible to extract canonical views using a generative approach combined with principal component analysis.
The idea of using a regression model to extract frontal views from non-frontal ones has been exploited.
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