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This paper proposes a novel shape feature extractor named Contour-SIFT along with a matching method that computes the similarity between two set of proposed descriptors. It allows a shape to be recognized based on automatically located outstanding local features on its contour, which are extracted from 1-D signal representations of different smoothing scales. The algorithm describes each local feature...
This paper presents an improved wave kernel signature (WKS) using the modified particle swarm optimization (MPSO)-based intelligent recognition and matching on 3D shapes. We select the first feature vector from WKS, which represents the 3D shape over the first energy scale. The choice of this vector is to reinforce robustness against non-rigid 3D shapes. Furthermore, an optimized WKS-based method...
This study aims to digitalize the Poppelreuter's overlapping figures test. The Poppelreuter's test used in psychology and neurology to assess visual perceptual function. Its recent modification performed with pencil and paper. Replacing the pencil and paper by the tablet computer equipped with the stylus, allows recording and analyzing fine motor motions observed during the test. On the one hand,...
The more digital image production increase, the more effectiveness and productivity of image recognition mechanism and comparison techniques become important. In this study, comparative experiments are made for distribution distance measurement function that is explained in the scope by using skeleton presentation which is obtained from 2D and 3D images of objects. Separate experiments are made in...
Human motion recognition is a challenging problem having applications in multifaceted domain. It has significance in sports, surveillance, human-computer interaction etc. Proposed Bharatnā yam Adavu Recognition System from Depth Data (BARSDD) recognizes the Adavu in Bharatnā yam using extended state model. Bharatnā yam is one of the Indian traditional dance forms. A specific sequence of poses in Bharatnā...
Objects that have been buried underground cannot be recognized due to the opaqueness of the soil. To recognize objects that have been buried, ground penetrating radar (GPR) by the assistance of computer-aided system was used. This paper proposes the latter, which is called the Recognition System of Underground Object Shape using GPR datagram. The hyperbola from cylinder and cube metal object that...
Devices equipped by touch screens are nowadays widely diffused. One of the most meaningful factor which leads to this success is their easy and intuitive interface which allows a friendly user-device interaction. Touch shape recognition is a topic which has contributed to the realization of these types of interfaces. In this paper we propose a solution able to discriminate among different classes...
The quality of the segmentation process directly affects the performance of the shape recognition. In this paper, we address the problem of shape recognition using only the available shape parts instead of the whole shape. For this purpose, we propose a shape parts recognition strategy that uses a robust distance based on geodesics in the shape space. The proposed combining strategy seeks to handle...
Astigmatism is very common eye disorder, which coexist with other refractive errors. Two third of the population worldwide who have myopia has astigmatism as well. Many diagnostic methods to detect these visual disorders have been developed in the last 10 years. Most of them are computer based techniques for better accuracy and fast response. In this paper an image processing based method for diagnosing...
As an increasing number of digital images are generated, a demand for an efficient and effective image retrieval mechanisms grows. In this work, we present a new skeleton-based shape retrieval algorithm, which starts by drawing circles of increasing radius around skeleton points. Since each skeleton corresponds to the center of a maximally inscribed circle, this process results in circles that are...
Pedigree schematic sketch is a drawing of a family's hereditary history in a form of a “tree” for an interpretation of possible inheritance of a given trait or disease. It consists of circles, rectangles, and diamonds with some textures to indicate a presence of carrier. Currently, doctors sketch such family tree on a piece of paper with a pen or pencil, which may be smudged over time and cannot be...
As an increasing number of digital images are generated, a demand for an efficient and effective image retrieval mechanisms grows. In this work, we present a new skeleton-based shape retrieval algorithm, which starts by drawing circles of increasing radius around skeleton points. Since each skeleton corresponds to the center of a maximally inscribed circle, this process results in circles that are...
Shape recognition is an important problem in many applications. A simple string matching approach for shape recognition is proposed in this paper. The shapes are coded as their dominant points. The compactness of polygons formed by the centroid and three consecutive dominant points is used as the feature for recognition. The experimental results showed that the proposed method has better recognition...
Humans usually describe objects along a certain direction, called intuitive direction, in other words place them in a way that they are commonly seen in their surroundings. In computer vision, the intuitive alignment may be very useful for object interpretation and semantic classification. For example, it may facilitate the extraction of characteristic points such as the base and apex of plant leaves,...
Obesity in the world has spread to epidemic proportions. In 2008 the World Health Organization (WHO) reported that 1.5 billion adults were suffering from some sort of overweightness. Obesity treatment requires constant monitoring and a rigorous control and diet to measure daily calorie intake. These controls are expensive for the health care system, and the patient regularly rejects the treatment...
Existing techniques utilizing bio-inspired robotic whisker sensory systems generally address object feature extraction with artificial whiskers as a mechanical problem. We present an alternative signal-processing approach that formulates the object shape recognition as a 2-D tactile imaging problem. Observing that the whisker position at the very initial contact is similar to a ‘ray path’ in X-ray...
Twenty-high Sendzimir rolling mills (ZRMs) typically use small diameter work rolls to provide massive rolling force. Because of the small diameter of the work rolls, a rolled steel strip has a complex shape mixed with quarter, edge, and center waves. When the strip shape is controlled automatically, actuator saturation occurs in the shape actuator such as AS-U roll. These problems affect productivity...
The chordiogram has recently been proposed for detection and segmentation of shapes in images. This paper evaluates the effectiveness of using chordiograms for recognizing hand written characters using the MNIST dataset. The method calculates a feature for each digit based on the geometric relationships of boundary pixels. The resultant features are used to train a support vector machine which is...
Shape recognition plays an important role in machine vision applications. The effective recognition algorithm should be less complicated and more accurate. In this paper, a structural descriptor for shape recognition is presented which has less complexity and more accuracy comparing with existing algorithms. Obviously, the boundary of shape is an important property in shape representation and description...
Information Retrieval in large digital document repositories is at the same time a hard and crucial task. While the primary type of information available in documents is usually text, images play a very important role because they pictorially describe concepts that are dealt with in the document. Unfortunately, the semantic gap separating such a visual content from the underlying meaning is very wide...
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