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This paper presents a method for depth measurement based on Speeded Up Robust Features (SURF) and pixel number variation of CCD Images. A single camera is used to capture two images in different photographing distances, where features in the images are extracted and matched by SURF. To remove false matching points, an Identifying point correspondences by Correspondence Function (ICF) method is adopted...
Finger vein has been proved to be an effective biometric for personal identification in recent years. Inspired by the good power of Gabor filter in capturing specific texture characteristics from any orientation of an image, this paper proposes a simple, yet powerful and efficient local descriptor for finger vein recognition, called histogram of competitive Gabor responses (HCGR). Specially, HCGR...
By using intensity probability density and color invariance model, a novel feature-based color image watermarking method is proposed in this paper. Firstly, the uniform and robust feature points are extracted in the color invariance model by utilizing modified speeded up robust features (SURF) detector, in which the intensity probability density gradient is used instead of intensity gradient. Then,...
For celestial spectra are vectors in a several-thousand-dimensional space with a mass of redundancy and usually contaminated with various noises, feature extraction is an essential procedure in automatic spectra processing. We investigated the feature extraction problem for Quasar and Galaxy spectra classification. The available methods in literature can be loosely classified into the following types:...
This paper copes with infrared (IR) face recognition on time-lapse data, which result in significantly decline of recognition rate. In order to eliminate the effects of the ambient temperature, psychological and physiological factors on infrared imaging, the block-PCA is proposed for feature extraction. The method calculates the standard deviation of each principal component, which is utilized to...
Automatic inspection on line plays an important role in industrial quality management nowadays. This paper proposes a new computer vision system for automatic steel surface inspection. The system analyzes the images sequentially acquired from steel bar to detect different kinds of defects on the steel surface. Several image processing strategies are used to detect and outline the defects. The detected...
This paper proposes an efficient approach to extract salient objects in an image. A scale-invariant saliency map is first constructed based on a multi-resolution feature contrast calculation, meanwhile the image is segmented into homogenous regions using nonparametric kernel density estimation (NKDE). Then the region saliency ratio of each region combination to its complement is calculated in turn...
In this paper, a fast infrared face recognition system using Curvelet transformation is proposed. Firstly, to get the good performance of infrared face recognition from the biological feature, thermal images are converted into blood perfusion domain by blood perfusion model. Secondly, Curvelet transform has better directional and edge representation abilities than widely used wavelet transformation...
This paper presents a practical nighttime vehicle distance measuring method based on a single CCD image. The method combines an image-based distance measuring system. To solve the nighttime feature extraction problem, the proposed method uses two taillights as the feature. Based on the proportionality of similar triangles, distance between a CCD camera and the taillights of the vehicle ahead can be...
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