A novel model matching method based on improved genetic algorithm is presented in this paper to improve efficiency of matching process for 3D face synthesis. New method is independent from initial values and more robust than stochastic gradient descent method. Improved genetic algorithm has strong global searching ability. Crossover and mutation probability are regulated during optimization pro...

We describe an innovative record matching system called ChoiceMaker 2 we developed at ChoiceMaker Technologies (CMT). Firstly, we describe the process by which we use a machine learning technique known as maximum entropy modeling to tune the system to the problem at hand. Secondly, we describe the ClueMakerTM programming language that is used to describe record matching characteristics. Thirdly...

In the study, it presents an efficient algorithm based on SURF (Speeded Up Robust Features). The method applies the SURF algorithm in the detection and description for image features, first it applies the SURF feature detector in extracting reference images and matching feature points in the image, respectively, then it uses DAISY algorithm instead of the SURF algorithm to calculate the charact...

A matching queue is described via a graph, an arrival process and a matching policy. Specifically, to each node in the graph there is a corresponding arrival process of items, which can either be queued or matched with queued items in neighboring nodes. The matching policy specifies how items are matched whenever more than one matching is possible. Given the matching graph and the matching poli...

In order to solve the problem of manual counting in the process of driving anchor rods into ground, an automatic counting method based on target tracking is proposed. First, an improved template matching method is proposed to track anchor drilling machine. Then, target information can be recorded and a target path diagram is generated. Finally, median filter is used to process tracking results ...