Texture can be observed in many natural and synthetic images from multispectral satellite images to the microscopic images of cell or tissue samples. Texture is an innate property of virtually all surfaces, the grain of wood, the weave of fabric, the pattern of crop in fields etc It contains important information about the structural arrangement of surfaces and their relationship to the surroun...

Many researchers have been attracted towards searching of similar moving objects trajectories due to its wide range of real time applications. Searching of similar trajectories of moving objects helps data mining users to take smart decisions and thereby improving the performance of systems. Trajectories are compared for similarity using edit distance measures such as DTW, ERP, EDR, and LCSS. T...

We present a method for detecting correspondences between non-rigid shapes, that utilizes surface descriptors based on the eigenfunctions of the Laplace-Beltrami operator. We use clusters of probable matched descriptors to resolve the sign ambiguity in matching the eigenfunctions. We then define a matching cost that measures both the descriptor similarity, and the similarity between correspondi...

This paper presents a new method for personal recognition using palmprints. This method uses inkless, normalized palmprint images to generate eigenpalms. Every palmprint image is thus characterized by a feature vector, consisting of weights from eigenpalm images. The performance of proposed method using two measures, i.e., minimum Euclidean distance and maximum similarity measure, is evaluated....

– The Lidar (LIght Detection And Ranging) sensor produced by Siemens uses five infrared beams to detect targets up to a distance of approximately 250 m. The paper describes the tests witch has been develop using our new software in order to visualize the detected targets. We used our program in the detection of different types of targets, placed at different distances and in different combinati...

In recent years, the research cluster of objective interestingness measures has rapidly developed in order to assist users to choose the appropriate measure for their application. Researchers in this field mainly focus on three main directions: clustering based on the properties of the measures, clustering based on the behavior of measures and clustering tendency of variation in statistical imp...

Vector data containing direction and magnitude information other than position information is different from common point data only containing position information. Those general similarity measures for point data such as Euclidean distance are not suitable for vector data. Thus, a novel measure must be proposed to estimate the similarity between vectors. The similarity measure defined in this ...

This paper focuses on the problem of identitybased face retrieval [2], a problem heavily depending on the quality of the similarity function used to compare the images. Instead of using standard or handcrafted similarity functions, one of the most popular ways to address this problem is to learn adapted metrics, from sets of similar and dissimilar example pairs. This is generally equivalent to ...

The computational analysis of musical harmony has received a lot of attention the last decades. Although it is widely recognized that extracting symbolic chord labels from music yields useful abstractions, and the number of chord labeling algorithms for symbolic and audio data is steadily growing, surprisingly little effort has been put into comparing sequences of chord labels. This study prese...