Automatic Differentiation, C++ Templates, and Photogrammetry

Efficient Expression Templates for Operator Overloading-based Automatic Differentiation

Expression templates are a well-known set of techniques for improving the efficiency of operator overloading-based forward mode automatic differentiation schemes in the C++ programming language by translating the differentiation from individual operators to whole expressions. However standard expression template approaches result in a large amount of duplicate computation, particularly for larg...

Automatic Shape-based Target Extraction for Close-range Photogrammetry

In order to perform precise identification and location of artificial coded targets in natural scenes, a novel design of circle-based coded target and the corresponding coarse-fine extraction algorithm are presented. The designed target separates the target box and coding box totally and owns an advantage of rotation invariance. Based on the original target, templates are prepared by three geom...

Kohonen Self Organizing for Automatic Identification of Cartographic Objects

Automatic identification and localization of cartographic objects in aerial and satellite images have gained increasing attention in recent years in digital photogrammetry and remote sensing. Although the automatic extraction of man made objects in essence is still an unresolved issue, the man made objects can be extracted from aerial photos and satellite images. Recently, the high-resolution s...

Implementation of Exact Sensitivities in a Circuit Simulator Using Automatic Differentiation

Sensitivities are very important in electronic circuit analysis and design. This paper presents a general circuit simulation programme that calculates analytical sensitivities with respect to any parameter using automatic differentiation. A novel aspect of this implementation is that C++ templates are used along with automatic differentiation libraries to produce (at compilation time) different...

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