Inside the C++ Object Model
Inside the C++ Object Model focuses on the underlying mechanisms that support object-oriented programming within C++: constructor semantics, temporary generation, support for encapsulation, inheritance, and "the virtuals"-virtual functions and virtual inheritance. This book shows how your understanding the underlying implementation models can help you code more efficiently and with greater confidence. Lippman dispells the misinformation and myths about the overhead and complexity associated with C++, while pointing out areas in which costs and trade offs, sometimes hidden, do exist. He then explains how the various implementation models arose, points out areas in which they are likely to evolve, and why they are what they are. He covers the semantic implications of the C++ object model and how that model affects your programs.
AMOP 0.3 is an Automatic Mock Object for C++.
By using ABI and template techniques, it can simulate a pseudo-"Reflection" which is normally not support in C++ .
The main differences between AMOP and other mock object library is that, users DO NOT need to implement the interface of the object which to mock...
neural network utility is a Neural Networks library for the
C++ Programmer. It is entirely object oriented and focuses
on reducing tedious and confusing problems of programming neural networks.
By this I mean that network layers are easily defined. An
entire multi-layer network can be created in a few lines, and
trained with two functions. Layers can be connected to one another
easily and painlessly.
（1）ICCV1999 Object Recognition from Local Scale-Invariant Features.pdf提出（2）IJCV2004 Distinctive image features from scale invariant keypoints.pdf總結（3）CVPR2004 PCA-SIFT：A More Distinctive Representation for Local Image Descriptors.pdf加PCA降維
