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Instantaneous heartbeat detection is a key parameter in modern vital sign monitoring. Continuous wave (CW) radar systems enable contactless measurements of the vibrations on the human skin effected by heartbeats. Since a high accuracy as well as robustness of the measurement sensor is appreciated, the belonging signal processing routine has to deal with challenging requirements. In this paper, an...
This paper presents a novel appearance and shape feature, RISAS, which is robust to viewpoint, illumination, scale and rotation variations. RISAS consists of a keypoint detector and a feature descriptor both of which utilise texture and geometric information present in the appearance and shape channels. A novel response function based on the surface normals is used in combination with the Harris corner...
Single feature is difficult to achieve a comprehensive description of the complex orbiting spacecraft telemetry data characteristics and is easy to lose telemetry data information, but the statistical distribution operators can fully reflect the characteristics of statistical distribution information. Aiming at the orbiting telemetry data which meets the character of local stability, we propose an...
3D reconstruction methods based on active stereo technique have been widely used for many practical systems. Many of these systems are configured with a single camera and a single projector. Since such systems can only capture one side of the target object, several attempts have been conducted to enlarge the captured area, especially multi-projector systems attract many researchers. For multi-projector...
This paper presents a novel methodology to assess the geometrical features of a component surface, from which suitable tool operation path can be derived. More specifically, a dynamic pressure sensor is proposed to be used for detection, characterization and estimation of the micro-terrain features on a three dimensional surface. Compared with the current methods of using profilometers or GOMs, the...
With the popularity of the network and expansion of multimedia technology, the traditional techniques of information retrieval do not satisfy the requirements of users. Recently, the content based image retrieval and its techniques have become the hot topic to satisfy a great development. In this paper, a new method is proposed to solve the problem of regions of interest (ROI) based image retrieval...
Place recognition in 3D data is a challenging task that has been commonly approached by adapting image-based solutions. Methods based on local features suffer from ambiguity and from robustness to environment changes while methods based on global features are viewpoint dependent. We propose SegMatch, a reliable place recognition algorithm based on the matching of 3D segments. Segments provide a good...
For a manipulation skill to be applicable to a wide range of scenarios, it must generalize between different objects and object configurations. Robots should therefore learn skills that adapt to features describing the objects being manipulated. Most of these object features will however be irrelevant for generalizing the skill and, hence, the robot should select a small set of relevant features for...
Many studies emphasize the importance of infant-directed speech: stronger articulated, higher-quality speech helps infants to better distinguish different speech sounds. This effect has been widely investigated in terms of the infant's perceptual capabilities, but few studies examined whether infant-directed speech has an effect on articulatory learning. In earlier studies, we developed a model that...
A novel case for visual data acquisition (ViDAQ) as an non-intrusive, scalable and reliable means of monitoring Human Machine Interfaces (HMIs) is envisioned. ViDAQ is a step towards achieving real-time cross-validation of human operator commands with respect to HMI states in large scale industrial control room environments. HMIs are integral in allowing human operators to safely command and monitor...
With rapid development and popularity, smartphones have been of importance in our daily life. Despite of its convenience in communication and computing, smartphones also lead potential security threats to users. Existing methods on smartphones for protecting user's privacy mainly depend on password or fingerprint based authentication. Most smartphone passwords are very simple and easy to guess or...
The rapid growth of 3D model resources for 3D printing has created an urgent need for 3D model retrieval systems. Benefiting from the evolution of hardware devices, visualized 3D models can be easily rendered using a tablet computer or handheld mobile device. In this paper, we present a novel 3D model retrieval method involving view-based features and deep learning. Because 2D images are highly distinguishable,...
Photoplethysmogram signals are becoming increasingly important for the detection of abnormalities in patients. Peak detection plays a significant role in diagnosis and monitoring using PPG signals. Although a copious number of methods are available for peak detection, none of them consider an online processing of the signal. In this paper we propose an online peak detection algorithm that tries to...
The problem of object localization in image appear ubiquitously in computer vision applications including image classification, object detection and visual tracking. Recently, it is shown that multiple-instance learning(MIL) which is regarded as the fourth machine learning framework compared with supervised learning, unsupervised learning and reinforce learning has been verified that will get good...
Chromosome classification is the essential task of karyotyping analysis which is videly used for detecting genetic anomalities. Chromosomes' band profiles based feature vectors are used frequently in the classification of them. Extracting of band profiles specially in the bent parts of chromosome may be lossy. In this study, an special sub-pixel resolution based method for lossless exctraction of...
Text recognition has revolutionized the world of image processing and intelligent transportation system (ITS). It opened several possibilities to traditional ITS concept. Advancement in text recognition has made it possible to implement text recognition in ITS. Traffic panel text recognition, a real time application is considered as a key addition to the revolution in modern ITS. This research aims...
Texture is an important feature in RS image classification of land-use, and its precision mainly depends on the scale parameters, which are strongly correlated with the geometry characteristics of the classified objects. However, there is no a recognized reliable method for texture scale extraction. So this paper proposes an new approach to indirectly extract them with the assistance of domain GIS...
Lung cancer is the most common cancer for death among all cancers and CT scan is the best modality for imaging lung cancer. A good amount of research work has been carried out in the past towards CAD system for lung cancer detection using CT images. It is divided into four stages. They are pre-processing or lung segmentation, nodule detection, nodule segmentation and classification. This paper presents...
Arabic recognition is a very challenging task that begins to draw the attention of the OCR community. This work presents our latest contributions to this task, exploring the impact of several features and classifiers combinations on the performances of some developed systems. Different types of writings were considered (machine-printed, multi-fonts, handwritten, unconstrained, multi-writers, bi-dimensional,...
The identification of a writer of a handwriting image is very useful for applications in forensic and historic document analysis. Writer identification methods retrieve the closest image within a list of samples of different writers to a query sample. In automatic writer verification the system takes an automatic decision if two handwriting images were written by the same person. In recent years,...
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