The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
In this paper, a novel multimodal biometric recognition system using three modalities including face, ear and gait, based on Gabor+PCA feature extraction method with fusion at matching score level is proposed. The performance of our approach has been studied under three different normalization methods (min-max, median-MAD and z-score) and two different fusion methods (weighted sum and weighted product)...
The paper overviews a vision-based technique that can be instrumental in assisting visually impaired humans in their activities. This category includes both blind people and individuals unable (e.g. due to neural disabilities) to understand semantics of the perceived visual data. Alternatively, the technique can be used as a tool for autonomous agents (e.g. mobile robots) performing in complex environments...
Next generation planetary rovers will require greater autonomous navigation capabilities. Such requirements imply the management of potentially large and rich geo-referenced data sets stored in the form of maps. This paper presents the design of a data management system that can be used in the implementation of autonomous navigation schemes for planetary rovers. It also outlines an approach that dynamically...
As sensor networks become ubiquitous, the need for data mining of sensor network data is gaining momentum. Sensor network data is typically large, noisy and imbalanced, which makes it challenging to build a robust model from the data. In addition, traditional data mining often requires postmortem processing of the resulting statistically significant patterns to identify interesting patterns by means...
With the technology of Geographic Information System (GIS) as the core and for the goal of establishing the spatio-temporal database of an open pit stope, the process of the strip mine production planning including shelling excavating and casting can be considered as the changed process of 3D geographic-spatial information based on time series, by establishing the spatio-temporal database of stopes,...
Illumination induced appearance changes represent one of the open challenges in automated face recognition systems still significantly influencing their performance. Several techniques have been presented in the literature to cope with this problem; however, a universal solution remains to be found. In this paper we present a novel normalization scheme based on the nuisance attribute projection (NAP),...
This paper presents a novel classification method based on perceptual image quality metrics for facial expression recognition. The features are extracted based on Contourlet sub-bands. Then, the optimum features are selected using minimum redundancy and maximum relevance algorithm (MRMR). The selected features are classified by structural similarity metric in contourlet domain. The proposed method...
In this paper, they address a key challenge for scaling image search up to larger databases: the amount of memory consumed by the inverted index. In a VT-based image retrieval system, the most memory-intensive structure is the inverted index. For example, in a database of one million images where each image contains hundreds of features, the inverted index consumes 2.5 GB of RAM. Such large memory...
This paper describes a similarity retrieval technique for textured 3D models. Various kinds of research have been conducted on similarity retrievals of 3D models since the late 1990's. Although most of the retrieval techniques focus on shape similarity of the 3D models, our technique allows users to retrieve and classify 3D models based on texture pattern similarity. To test our texture similarity...
A novel face recognition method is proposed in this paper to alleviate the "Small Sample Size" problem of the conventional Linear Discriminant Analysis (LDA). This method is based on the feature extraction of global odd and even face image representation, and a dimension reduction process via Symmetrical 2D Partial Least Square Analysis (2DPLS) by two sizes. The low-dimensional features...
In this paper, we describe the GUC100 multi-scanner fingerprint database that has been created for independent and in-house (semi-public) performance and interoperability testing of third party algorithms. The GUC100 was collected by using six different fingerprint scanners (TST, L-1, Cross Match, PreciseBiometrics, Lumidigm and Sagem). Over several months fingerprint images of all 10 fingers from...
Dimension reduction algorithms have attracted a lot of attentions in face recognition because they can select a subset of effective and efficient discriminative features in the face images. Most of dimension reduction algorithms can not well model both the intra-class geometry and interclass discrimination simultaneously. In this paper, we introduce the Discriminative Hessian Eigenmaps (DHE), a novel...
The marine environmental data has a strong temporal-spatial characteristic. The ocean is always changing. In terms of time scale, marine environmental information is characterized by its climatology-scale variation features (i.e. year, season) and weather-scale variation features (i.e. day, hour). The multi-time scale and time-varying characteristics of marine environmental data products bring foreword...
Face recognition plays an every important role in security surveillance, secure access and identity authentication. In this paper, we propose a novel face recognition method based on supervised learning. Our method consists in first extracting face feature using a supervised spectral regression, then we use multiple kernel SVM to classify face. Experimental results on Yale B face database and AR face...
The cooperation between the Brazilian and Chinese governments established in 1988 led to the development of imaging satellites, which help monitor the natural resources of both countries. In Brazil, the CBERS program includes a policy of free distribution of the images, first inside the national territory and, more recently, to other countries. This distribution is done through a catalogue available...
Face is a complex multidimensional visual model and developing a computational model for face recognition is difficult. The paper presents a methodology for face recognition based on information theory approach of coding and decoding the face image. Proposed methodology is connection of two stages - Feature extraction using principle component analysis and recognition using the feed forward back propagation...
In this paper a new approach to face recognition is presented which is based on processing of face images in hexagonal lattice. The importance of the hexagonal representation is that it possesses special computational features that are pertinent to the Human Vision process. Few advantages of processing images on hexagonal lattice are higher degree of circular symmetry, uniform connectivity, greater...
Face recognition has been an important issue in computer vision and pattern recognition over the last several decades. While a human can recognize faces easily, automated face recognition remains a great challenge in computer-based automated recognition research. One difficulty in face recognition is how to handle the variations in expression, pose, and illumination when only a limited number of training...
The performance of biometric systems deployed in real world scenarios is affected adversely by the degradation in the input quality. This degradation can take place either in the input or due to inherent design of the deployed system. Quality Measures aim to provide a quantitative indication of this degradation which can be utilized to help access the probability that the provided biometric decision...
This paper presents a new extended collection of posed and induced facial expression image sequences. All sequences were captured in a controlled laboratory environment with high resolution and no occlusions. The collection consists of two parts: The first part depicts eighty six subjects performing the six basic expressions according to the “emotion prototypes” as defined in the Investigator's Guide...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.