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Modelling of a database performance depending on numerous factors is the first step towards its optimization. The linear regression model with optional parameters was created. Regression equation coefficients are optimized with the Flower Pollination metaheuristic algorithm. The algorithm is executed with numerous possible execution parameter combinations and results are discussed. Potential obstacles...
In this paper, we present a new benchmark (Menpo benchmark) for facial landmark localisation and summarise the results of the recent competition, so-called Menpo Challenge, run in conjunction to CVPR 2017. The Menpo benchmark, contrary to the previous benchmarks such as 300-W and 300-VW, contains facial images both in (nearly) frontal, as well as in profile pose (annotated with a different markup...
Code smells are sub-optimal coding circumstances such as blob classes or spaghetti code - they have received much attention and tooling in recent software engineering research. Higher-up in the abstraction level, architectural smells are problems or sub-optimal architectural patterns or other design-level characteristics. These have received significantly less attention even though they are usually...
One way to make more spectrum available is through white space sharing, where secondary spectrum users are allowed to transmit from any location except inside exclusion zones (EZs) that are drawn around primary spectrum users (PUs). However, EZ boundaries reveal the locations of PUs, and for some devices, location privacy is extremely important. Location privacy can be improved by increasing the area...
This paper introduces, and verifies the applicability of, a practical algorithm for creating 3D points clouds resembling objects, based on multiple RGB-D frames having been taken from different viewpoints, by the Kinect 2 camera. The experimental set-up is described, along with a certain variant of the process referred to as iterative closest point, being utilized for the latter purpose. Moreover,...
We have studied the problem of retrieval of arbitrary object instances from a large point cloud data set. The context is autonomous robots operating for long periods of time, weeks up to months and regularly saving point cloud data. The ever growing collection of data is stored in a way that allows ranking candidate examples of any query object, given in the form of a single view point cloud, without...
Recent development and innovations in advanced 3D scanning mechanism has boosted the modelling of 3D objects for several domain related applications. Here we propose a framework for 3D Object retrieval process. Hence for the fruitful retrieval from the warehouse efficient searching techniques are required. In this paper, combination of different methods which are rotation estimation, feature extraction,...
Perceptual quality evaluation of the retargeting image plays an important role in benchmarking different retargeting methods, as well as guiding or optimizing the retargeting process. The distortions introduced during the retargeting process are mainly categorized into shape distortion and content information loss [1]. The shape distortion measurement is critical to the evaluation of retargeting image...
In this paper we use the Earth Movers Distance (EMD) algorithm to measure similarity between shapes for recognizing and searching Arabic words. We have used the Shape Context and the Angular Radial Partitioning descriptors to evaluate matching and recognizing with EMD. Based on the encouraging results of high accuracy and recall, we follow the low-distortion embedding of the Earth Mover's Distance...
A jigsaw puzzle solver reconstructs the original image from a given collection of non-overlapping image fragments using their color and shape information. In this paper we introduce new techniques for solving square jigsaw puzzles (with no prior knowledge of the initial image) that improves the accuracy of the state-of-the-art jigsaw puzzle solvers. While the current puzzle solving techniques are...
In this paper, we propose a facial expression classification method using metric learning-based k-nearest neighbor voting. To achieve accurate classification of a facial expression from frontal face image, we first learn a distance metric structure from training data that characterizes the feature space pattern, then use this metric to retrieve nearest neighbors from training dataset, and finally...
Automatic estimation of 3D shape similarity from video is a very important factor for human action analysis, but also a challenging task due to variations in body topology and the high dimensionality of the pose configuration space. We consider the problem of 3D shape similarity in 3D video sequence for different actors and motions. Most current approaches use conventional global features as a shape...
This paper presents the result of a recent large-scale subjective study of image retargeting quality on a collection of images generated by several representative image retargeting methods. Owning to many approaches to image retargeting that are developed, there is a need for a diverse independent public database of the retargeted images and the corresponding subjective scores that is freely available...
In this paper, we propose a hybrid approach based on neural networks and the combination of the classic Hu & Zernike moments joined with Geodesic descriptors. To be able to keep the maximum amount of information that are given by the color of the image, we have calculated Zernike & Hu for each color level. On the other side, geodesic descriptors are applied directly to binary images, and so...
This paper presents a novel approach to simultaneously compute the motion segmentation and the 3D reconstruction of a set of 2D points extracted from an image sequence. Starting from an initial segmentation, our method proposes an iterative procedure that corrects the misclassified points while reconstructing the 3D scene, which is composed of objects that move independently. This optimization procedure...
Text detection in natural images remains a very challenging task. For instance, in an urban context, the detection is very difficult due to large variations in terms of shape, size, color, orientation, and the image may be blurred or have irregular illumination, etc. In this paper, we describe a robust and accurate multiresolution approach to detect and classify text regions in such scenarios. Based...
This paper deals with the construction of a non parametric multiscale analysis from a 1D parametric decomposition of shapes where the elements of the decomposition are geometric primitives. We focus on the case of linear structures in shapes but our construction readily extends to the case of any geometric primitives. One key point of the construction is that it is truly multiscale in the sense that...
In this paper, we address the use of unified spatial relations for symbol description. We present a topologically guided directional relation signature. It references a unique point set instead of one entity in a pair, thus avoiding problems related to erroneous choices of reference entities and preserves symmetry. We experimentally validate our method on showing its ability to serve in a symbol retrieval...
Visual understanding is often based on measuring similarity between observations. Learning similarities specific to a certain perception task from a set of examples has been shown advantageous in various computer vision and pattern recognition problems. In many important applications, the data that one needs to compare come from different representations or modalities, and the similarity between such...
Shape database search is ubiquitous in the world of bio-metric systems, CAD systems etc. Shape data in these domains is experiencing an explosive growth and usually requires search of whole shape databases to retrieve the best matches with accuracy and efficiency for a variety of tasks. In this paper, we present a novel divergence measure between any two given points in Rn or two distribution functions...
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