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In order to solve the view redundant problem in existing research work, we propose an approach based on a single view for 3D model shape feature measuring, and the similarity between models is calculated through dynamic programming algorithm. This method implements single view feature description and shape matching for 3D model. The algorithm is composed of three steps: Firstly, the pose of a 3D model...
With the network education becomes more and more popular, people pay more attention to the intelLigence of the education system. This paper put out focus on the fuzzy neural network (FNN) applying to the emotion recognition. The method works by doing emotional features extraction first, then training the FNN using lots of the features data, third using the FNN to recognize emotion. Finally the paper...
In this paper, we firstly describe improved Adaboost algorithm, and then introduce wavelet moment, which has rotation, shift, scale moment invariants and multi-resolution characteristic, and which can not only extract image local feature, but also can extract global feature. so it is more stronger to oppose noise. This paper proposes dynamic pyramid changing idea of detector scale. A cascade classifier...
Fourier descriptor is widely used for shape analysis and shape matching. Generally, the Euclid distance from boundary point to shape centroid is used in constructing Fourier descriptor. This kind of shape descriptor, however, is sensitive for rigid-transform. In this paper, we proposed a new kind of shape descriptor, namely geodesic Fourier descriptor. It remains robust under rigid transform. We first...
In order to estimate the approach angle and relative height of Unmanned Aircraft Vehicle (UAV) which lands autonomously, a combinational approach of monocular vision and stereo vision is presented. From monocular sequences, vanishing line is extracted by Hough transform and RANSAC algorithm, and then approach angle of UAV is calculated through vanishing line geometry. From stereo sequences, feature-based...
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