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New elevation models from the Czech Republic are produced using airborne laser scanning. These new elevation models achieve much higher accuracy than previous models whose accuracy is expressed in meters. Declared accuracy was subjected to verification in five selected locations. Despite some problems with accuracy, especially in areas of significant microrelief shapes, these models comply the declared...
We present a novel audiovisual emotion recognition solution using multimodal information fusion based on entropy estimation. Considering the limitations of existing methods, we propose a new dual-level fusion framework which consists of feature level fusion module based on kernel entropy component analysis and score level fusion module based on maximum correntropy criterion. In our system, audio and...
The existing approaches to automatic emotion analysis rely mostly on visible spectrum data, and very few works have been reported using thermal data for spontaneous facial expression analysis. In this paper, we present a novel infra-red thermal video descriptor in order to improve spontaneous emotion recognition. We first represent each thermal video as a series of clips. The face regions of each...
Recently, many approaches have been proposed for complete 3D reconstruction of moving objects. Particularly, one-shot reconstruction using a projector-camera system (pro-cam) has attracted considerable attention as it can reconstruct the full 3D shape from a single image and it is therefore suitable for capturing moving objects. However, one-shot measurement methods have the issue that the projection...
Fashion is a major segment in e-commerce with growing importance and a steadily increasing number of products. Since manual annotation of apparel items is very tedious, the product databases need to be organized automatically, e.g. by image classification. Common image classification approaches are based on features engineered for general purposes which perform poorly on specific images of apparel...
Blood vessel extraction from retinal fundus images is an important task in developing the computer-aided diagnostic system for ophthalmologists. In this paper we have presented an algorithm for extraction of blood vessels of retinal fundus images and comparison of different moment invariants used for the extraction of features for the vessel pixels. The algorithm uses neural networks for distinguishing...
In this paper, we introduce new methods to encode color local texture features for enhanced face representation. In particular, we first propose a novel descriptor; color local phase quantization (CLPQ), which incorporates (channel-wise) unichrome and (cross channel) opponent features in frequency domain. Furthermore, we extend the CLPQ descriptor to multiple scales i.e. multiscale color LPQ (MS-CLPQ),...
In this paper, we propose a method to extend the field of view (FoV) of cameras mounted on Micro Aerial Vehicles (MAVs). The idea is to stitch together appropriate sections of the panorama to the camera frame. The proposed system efficiently performs view extension by fusing fast tracking and feature descriptor matching into the stitching algorithm. The quality of the extended view is further improved...
This paper proposes an intellectual classification system to recognize normal and abnormal MRI brain images. Nowadays, decision and treatment of brain tumors is based on symptoms and radiological appearance. Magnetic resonance imaging (MRI) is a most important controlled tool for the anatomical judgment of tumors in brain. In the present investigation, various techniques were used for the classification...
Fingerprinting based localization is one of the most widely used indoor localization methods. This method is divided into two phases: during the off-line training phase, fingerprints within the area of interest are collected and stored in a fingerprint database; during the on-line mapping phase, the real-time location of a device is estimated by mapping itself to the most accurate fingerprint in the...
This paper presents a fast algorithm to segment moving objects in video sequences, as the first step of a fast object tracking system. It is based on the detection of level lines to detect closed objects contours in a scene. The detected objects are clustered using a combination of mean shift and ensemble clustering. The proposed method produces a temporal video segmentation in a fraction of the processing...
At the center of computational structural biology, protein structure comparison is a key problem. The steady increase in the number of protein structures encourages the development of massively parallel tools. While the focus of research is to propose data-analytical methods to tackle this problem, there are limited research proposing generic tools to run these methods in parallel environments. Herein,...
The use of directional patterns has recently received more attention in fingerprint classification. It provides a global representation of a fingerprint, by dividing it into homogeneous orientation partitions. With this technique, the challenge in previous works has been the complexity of the pattern templates used for classification. In addition, incomplete fingerprints are often not accounted for...
Missing values are a common problem in many real world databases. A common way to cope with this problem is to use imputation methods to fill missing values with plausible values. Genetic programming-based multiple feature construction (GPMFC) is a filter approach to multiple feature construction for classifiers using Genetic programming. The GPMFC algorithm has been demonstrated to improve classification...
Automatic classification of tropical wood species is becoming more important especially for timber exporting countries due to the considerable economic challenge as a result of fraudulent labelling of timber species at the custom checkpoints. Hence, a reliable automated wood species recognition system is needed to inspect the wood species labelling at the checkpoints. A tropical wood species classification...
Different location determination methods using wireless signal strength have been proposed to improve the location accuracy and mitigate the multipath problem in indoor environment. In this paper, a fingerprinting-probabilistic approach for indoor localization using wireless technology is proposed. The method is based on the use of the Gaussian Mixture Model (GMM) to approximate the probability distribution...
One problem in biometric fingerprint technology is template protection. Template is an individual's digital reference extracted from biometric sample. The objective of template protection is to protect user biometric information. Basis idea of template protection is if an attacker able to get the template then the attacker will not be able to reverse template to obtain biometric information. Template...
The amount of diverse tags used to classify posts on Stack Overflow increased in the last years to more than 38,000 tags. Many of these tags have the same or similar meaning. Stack Overflow provides an approach to reduce the amount of tags by allowing privileged users to manually create synonyms. However, currently exist only 2,765 synonym-pairs on Stack Overflow that is quite low compared to the...
Gait recognition, a manner to measure a person walk, has emerged as a new biometric technology due to the imperative need for efficient security infrastructure. There are several uniqueness associated with this technology: non-invasive, hard to conceal, and perceivable at a low-resolution. Unfortunately, gait exhibits large variations due to changes in view angles, clothing, footwear, carrying conditions,...
The main aim of this paper is an improvement of the famous Scale Invariant Feature Transform (SIFT) algorithm used in place categorization. Masking approach to reduce the computational complexity of SIFT have been proposed. Tradeoff between key points and processing time on feature extraction has been used. Selected parameters used in the experiment demonstrated that the computational cost of SIFT...
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