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This paper presents a new method of recognition of lidar cloud point images based on convolutional neural network. This experiment uses 3D CAD ModelNet, and generates 3D point cloud data by simulating the scanning process of lidar. The data is divided into cells, and the distance is represented by gray values. Finally, the data is stored as grayscale images. Changing the number of cells dividing point...
On the basis of explaining the principles of wavelet transform, neural network, and wavelet neural network, the paper examines two methods of face recognition: one is based on neural network, the other is based on wavelet neural network. The paper also offers the features and differences based on algorithmic simulation. The result of the stimulation reveals that face recognition using wavelet neural...
Forgery note recognition plays an important role in our daily life as the general public has an opportunity to receive the forgery notes. This paper proposes a big data and cloud based wearable forgery note recognition system. First, a wearable camera is employed for taking the note images. Then, the note images are sent to the cloud systems. There is a big data system in the cloud server. Image features...
In this paper, we propose a video-based metropolitan positioning system (V-MPS) for providing centimeter-grade localization in vehicular networks. The V-MPS system integrates vehicular networks with installed roadside/intersection cameras to provide positioning information to vehicles on the road. V-MPS can estimate the precise position of a vehicle and detect the located lane for each vehicle. To...
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