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Feature matching is fundamental to many vision tasks. Due to the low visibility of images in underwater environments, traditional pixels-based matching methods suffer from miss-matching or error-matching. Recently, Superpixel based features have been applied to image feature analysis. However, most of existing methods dedicate to rectified stereo matching with images captured in the air. This paper...
Depth image based human action recognition has attracted many attentions due to the popularity of the depth sensors. However, accurate recognition still remains a challenge because of various object appearances, poses and video sequences. In this paper, a novel skeleton joints descriptor based on 3D Moving Trend and Geometry (3DMTG) property is proposed for human action recognition. Specifically,...
Previous work has shown that perceptual texture similarity and relative attributes cannot be well described by computational features. In this paper, we propose to predict human's visual perception of texture images by learning a non-linear mapping from computational feature space to perceptual space. Hand-crafted features and deep features, which were successfully applied in texture classification...
This paper proposes a real-time feature extraction and segmentation method for a 3D point cloud. First of all, we apply Growing Neural Gas with Utility (GNG-U) to the point cloud for learning a topological structure. However, the standard GNG-U cannot learn the topological structure of 3D space environment and color information simultaneously. To this end, we then modify the GNG-U algorithm by using...
With the development of remote sensing (RS) techniques, the amount of RS images increases dramatically. It is a challenge to utilize those RS big data efficiently. Content-based Image Retrieval (CBIR) is a typical approximate similarity search problem, which needs to establish an effective index structure to reduce the time of retrieval. By analyzing the limitations of commonly-used indexing mechanisms...
Procedural textures have been widely used as they can be easily generated from various mathematical models. However, the model parameters are not perceptually meaningful or uniform for non-expert users. In this paper, we proposed a system that can generate procedural textures interactively along certain perceptual dimensions. We built a procedural texture dataset and measured twelve perceptual properties...
Local binary pattern on three orthogonal planes (LBP-TOP) is one of the most popular method for dynamic texture analysis and has been successfully applied to facial expression analysis. Yet an effective LBP-TOP operator highly relies on preprocessing. And, like many appearance-based approaches, this approach reserves more identity-related cues rather than expression. In this work, we propose a fully...
A new calculation method for the input of the neural network ensemble prediction (NNEP) model has been developed based on the data mining technology using the feature extraction method of Empirical Orthogonal Function(EOF) and the stepwise regression method, for investigating the effect of different model input with the same dimension on the prediction capacity of the NNEP model. Taking typhoon intensity...
The increasing popularity of the internet means that digital multimedia are transmitted more rapidly and easily. And people are very aware for media ownership. However, digital watermarking is an efficient and promising means to protect intellectual properties. Based on the intellectual property attention in the information era, how to protect the personal ownership is extremely important and a necessary...
In order to improve the flight safety and establish a better environment for aircraft maintenance, we design a remote fault diagnosis system of aircraft. The system is based on .NET framework and latest aircraft fault diagnosis technologies. Under a hierarchical design conception, it is divided into three parts: onboard aircraft diagnosis system, ground diagnosis centre and remote expert client. The...
In this paper, we propose an adaptive video watermarking algorithm based on a pseudo 3D DCT to insert the high transparency and slight distortion messages to resist the attacks. The watermark is mainly inserted into the uncompressed domain by adjusting the correlation between DCT coefficients of the selected blocks, and the watermark extraction is blind, i.e., no original unwatermarked video is needed...
Image mosaic is that estimating the best geometric transformation between the overlapping regions of the images and aligning the images. We propose a fast locating detection in order to gain the overlapping regions. Our proposed scheme primarily consists of the color model transformation, orientation matching, and overlapping region measurement. Based on our proposed approach, it can speed up the...
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