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A novel approach to extract and retrieve furniture items from an image database and online websites which includes multiple furniture items, and then find the similar items from the database. The image could be taken using phone cameras or downloaded from online websites or from shopping malls. A real time application is developed in android phone to find the similar images of furniture taken using...
The QRS detection algorithms based on properties of most cardio signals and barely sensitive to the QRS shape are considered in the paper. Signal energy and velocity of signal fluctuations are such kind of properties. The implementation of these algorithms allows to detect QRS among other ECG elements. Two new algorithms which develop the idea of widely known Pan-Tompkins algorithm are suggested....
Due to increase in the competition of products and services the trademark designing has become important now a days. Therefore designing an efficient trademark recognition system is imperative. This paper proposes an automated system for trademark retrieval based on colored trademark images. Trademark retrieval system is designed by implementing techniques for color, shape and texture feature extraction...
Handwritten character recognition has been emerging topic studied in the last half century and shape up to the level which is sufficient to develop a technology driven application. Now the rapidly increase in the computation power, CR creates an increasing demand for new emerging applications, which require more advanced methodologies. The problem of character segmentation and its recognition in India...
In this paper we present a novel approach for 3D facial expression recognition based on a registration method. The used registration method, called the Coherent Point Drift (CPD), is applied to estimate complex non-linear and nonrigid transformation between 3D facial surfaces. The computed transformation allows to recover shape deformations that are induced by facial expression variations. Machine...
In the context of tree species recognition, botanists knowledge was used in different works specially when recognising tree species through leaves. In this paper, two sub-classification strategies for tree species recognition are proposed. For each sub-classification strategy, Basic belief assignment (Bba) was determined and obtained data were fused thanks to a totally adaptive fusion system implemented...
In this paper a new approach is proposed to classify leafs in efficient and effective manner. In this approach, the features are extracted from edges of the leaf images and it is used two kinds of features which are edge based and shape based features for leaf classification. When the present method is tested on Flavia dataset, it gives the average classification accuracy rate of 94.37%. The Flavia...
This paper presents a multilevel analysis of 2D shapes and uses it to find similarities between the different parts of a shape. Such an analysis is important for many applications such as shape comparison, editing, and compression. Our robust and stable method decomposes a shape into parts, determines a parts hierarchy, and measures similarity between parts based on a salience measure on the medial...
We propose a novel geometric framework for analyzing spontaneous facial expressions, with the specific goal of comparing, matching, and averaging the shapes of landmarks trajectories. Here we represent facial expressions by the motion of the landmarks across the time. The trajectories are represented by curves. We use elastic shape analysis of these curves to develop a Riemannian framework for analyzing...
Cascade regression framework has been successfully applied to facial landmark detection and achieves state-of-the-art performance recently. It requires large number of facial images with labeled landmarks for training regression models. We propose to use cascade regression framework to detect eye center by capturing its contextual and shape information of other related eye landmarks. While for eye...
Various soft biometric traits have been used as hints in forensic investigation. Tattoo, as one of those soft biometric traits, has been used extensively because it is easy to be remembered and described by witnesses and appears very often among criminals and victims. Most of the tattoo retrieval systems currently used in police departments are still text-based systems. They depend on labels tagged...
Categorical description of leaf shapes is of paramount importance in agriculture and plant sciences. Traditionally, these descriptions have been based on categorical systems proposed by domain experts. Despite the importance of these visual descriptive systems, these approaches may be limited by the representation of unknown shapes as expected in exploratory domains. In this work, we propose a novel...
Fourier descriptors (FDs) are the widely used shape descriptors. But FDs can only be used to objects with single boundary, and it is inapplicable to objects with several components. In this paper, a region-based method, which is called Polar Vector Fourier Descriptors (PVFDs), is developed to extract invariant features. Firstly, the Cartesian coordinate system is converted into polar coordinate system...
In this paper, an information fusion system for tree species recognition through leaves is proposed. This approach consists in training sub-classifiers (Random forests) with attributes extracted from leaf photos. The database is incomplete, partial and some data is conflicting. A hierarchical fusion system based on Belief functions theory allows the fusion of data provided by different sub-classifiers...
In this paper we provide an intelligent and convenient shopping cart, Intelligent Shopping Assistant System (ISAS). With ISAS, customers can concentrate on what he/she has to buy, and do not be bothered where he/she has to buy or it is want to buy. In contrast to conventional shopping cart, two modes of autonomous functions are added to ISAS in order to reduce the labor of customers for pushing goods...
The automatic age estimation systems from facial images are often very complex and difficult to achieve, because of the aging process complexity. Such a system can be used in security, man-machine interactions, and biometrics. Research in this field has advanced during the last years. This paper proposes an age estimation system based on the shape and gray level texture intensity, extracted from facial...
Initialization and feature selection are crucial in supervised landmark detection. Mismatching caused by detector error and discrepant initialization is very common in these existing methods. To solve this problem, we proposed a new method, which includes a new initialize model and multitask feature learning, for the robust facial landmark localization. In our new method, firstly, a fast detection...
We present a novel pipeline for augmenting a 3D eye-glass mesh into a person's face. While doing so, we take care about the proper fitment of the glass in terms of pupilary distance computed automatically, which is user-friendly in compare to standard marker based approaches. Our method also performs rigid eye-glass temple correction during augmentation followed by tracking to present realistic rendering...
Dealing with a reliable face-ageing model has been an interesting topic with many envisioned applications such as those are related to investigation and forensics. Contrary to most previous works which deal with predictive face models, in this work, we propose a model that can estimate one’s appearance in his youth down to it being in the age of 3-4 years. In this proposed approach, the youth face...
For purpose of power network operation analysis deterministic methods for load flow calculation are commonly used, for example Newton-Raphson method in its full or simplified version. Method is known for its robustness and is suitable for analyses of HV and MV networks. On the other hand it is less appropriate to model LV networks using solely deterministic methods, since consumption in LV networks...
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