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Facial rejuvenation has driven a lot of research in the field of dermatology and plastic surgery, leading to many medical procedures. This paper proposes an age prediction method that could be used to better understand the ageing process and to evaluate the benefits of a rejuvenating treatment, for example. A supervised Facial Model (SFM) is built using Partial Least Squares regression (PLSR) to capture...
This paper presents a novel architecture for a classification system based on the visual saliency of images. The work is motivated by the difficulty of reviewing large numbers of images as a human operator in the context of Autonomous Underwater Vehicle (AUV) surveys. We formulate a feature space in which an algorithm operates over color and texture to determine saliency and illustrate how this can...
Feature enhancement in an image is to reinforce some exacted features so that it can be used for object classification and detection. As the thermal image is lack of texture and colorful information, the techniques for visual image feature enhancement is insufficient to apply to thermal images. In this paper, we propose a new gradient-based approach for feature enhancement in thermal image. We use...
In this paper, we propose a content-based image retrieval system based on an efficient combination of both color and texture features. According to HSV (Hue, Saturation, and Value) color space, we quantified the color space into non-equal intervals, and then construct a one dimensional feature vector and represented the color feature. Similarly, the work of texture feature extraction is obtained by...
Traditional evaluation method of camouflage texture effect is subjective evaluation. It's very tedious and inconvenient to direct the texture designing. In this paper, a systemic and rational method for direction and evaluation of camouflage texture designing is proposed. A new camouflage texture evaluation method based on WSSIM (Weight structural similarity) is given to access the effects of camouflage...
We develop algorithms that seek to assess the similarity of 3D faces, such that similar and dissimilar faces may be classified with high correlation relative to human perception of facial similarity. To obtain human facial similarity ratings, we conduct a subjective study, where a set of human subjects rate the similarity of pairs of faces. Such similarity scores are obtained from 12 subjects on 180...
In this paper we propose an efficient local appearance feature extraction method for iris recognition based on steerable pyramid (S-P) to captures the intrinsic geometrical structures of iris image. It decomposes the iris image into a set of directional sub-bands with texture details captured in different orientations at various scales, local information is extracted from S-P sub-bands using block-based...
Key-frame-extraction has been recognized the important research issue in the content based on video retrieval. And the effectiveness of the key frames will directly influence on video retrieval. This paper proposes a new method of video key-frame-extraction based on block local features and mean shift clustering. Firstly, we partition the image by the block-weighted strategy, and then extract the...
This paper investigates solutions to improvement of realistic rendering quality of CG (Computer Graphics) character face. In order to manipulate face skin feature distribution, based on bio-anatomic structure, skin surface is classified into 3 layers (Internal, Regular and Local layer) to control skin base color, surface cellular venation level and noise distribution like freckle, respectively. Moreover,...
One of the current trends in biometric human identification is the development of new emerging modalities. One of such promising modalities is knuckle biometrics. In this paper new developments in human identification based on knuckle biometrics are presented. The major contribution of this paper are texture-based knuckle features and their evaluation using IIT Delhi knuckle image database.
In this paper, a fuzzy approach for image retrieval on the basis of color and texture features is presented. For this purpose, two new descriptors ”Fuzzy Dominant Color Descriptor” and ”Fuzzy Dominant Texture Descriptor” are proposed. Each descriptor will be defined as a fuzzy set over a finite universe of color/texture fuzzy sets (with membership degrees according to its dominance degrees). The color/texture...
We introduce a novel decomposition algorithm capable of extracting locally coherent and visually meaningful texture components from images. The algorithm estimates texture dominant orientation for each coherent component and iteratively extracts it from the image based on a new quantitative coherency measure formulated in the modulation domain. The original image is perfectly reconstructed from extracted...
With advances in the computer technology and the World Wide Web there has been an explosion in the amount and complexity of multimedia data that are generated, stored, transmitted, analyzed, and accessed. In order to extract useful information from this huge amount of data, many content-based image retrieval (CBIR) systems have been developed in the last decade. A typical CBIR system captures image...
With the development of remote sensing technology, using remote sensing images to do change detection is becoming a hotspot. This paper introduces the research status of pixel-based and object-based change detection technology as well as comments on several change detection methods. A technique for pixel-based change detection by integrating the intensity and texture differences between two frames...
The paper presents an image processing, aiming at understanding and exploring the image identification technology for human cells. The paper reports several algorithm improvements in the processing including the Gauss-Laplace algorithm that makes image of human cells be identified effectively, and combination of texture match that using pixels statistics method makes several algorithms together. With...
The relationships between computational texture features and human touch feeling were investigated. Twenty four tactile plaques were manufactured. The textures for the plaques were copies of visual textures in which the grey scale was converted to height, or were copies of existing tactile textures. Textural features of the plaques' topographies were extracted using the most common statistical analysis...
There are a wide variety of measures in the literature that capture the ??coarseness?? texture property. Some of them have better ability to represent coarseness than the others. Furthermore, some of them are more robust against the variation of other image features, like brightness, contrast, noise and size of the image. In this paper, we propose to study the robustness and the relationship with...
This paper introduces novel methods for detecting blemishes in potatoes using machine vision. After segmentation of the potato from the background, a pixel-wise classifier is trained to detect blemishes using features extracted from the image. A very large set of candidate features, based on statistical information relating to the colour and texture of the region surrounding a given pixel, is first...
Textural coarseness for textural feature are compared. The problem addressed is to determine which texture feature optimize retrieval rate. Many textural features have been proposed in different papers. No much focused on comparative textural coarseness study has appeared. The goal is compared and evaluating in a quantitative manner three types of textural coarseness, namely gray level co-occurrence...
We present a simple and efficient method to seamlessly stitch the images according to a stitching line based on an energy map. The power of this method lies in the integration of many superior features and at the same time, it is still efficient. One striking feature of our approach is that it is based on the philosophy that human eyes mostly notice only the salient features of an image and the stitching...
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