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We report our ongoing research on an application-independent and segmentation-free approach for spotting queries in document images. Built on our earlier work reported in [1][2], this paper introduces an image processing approach that finds occurrences of a query, which is a multi-part object, in a document image, through 5 steps: (1) Preprocessing for image normalization and connected components...
In this paper, a novel algorithm based on the Active Shape Model (ASM) for locating landmarks on human faces is proposed. A challenge for detecting facial features is that faces may be under different poses, this makes the local appearance of each facial landmark vary greatly. To account for these variations, we propose an adaptive-profile scheme for ASM so that facial landmarks can be detected reliably...
Most of the open challenges in person re-identification arise from the large variations of human appearance and from the different camera views that may be involved, making pure feature matching an unreliable solution. To tackle these challenges state-of-the-art methods assume that a unique inter-camera transformation of features undergoes between two cameras. However, the combination of view points,...
This paper describes a modeling method that enables generation of a 3D shape model for movable parts of furniture and home appliances. Furniture such as refrigerators, shelves, and cabinets were targeted in this research. The proposed method is based on the tracking of 3D surfaces extracted from depth images captured by a 3D range camera. Both exterior and interior sides of an articulated part can...
Graph based methods have been successfully used in computer vision for classification and matching. This is due to the fact that shapes can be conveniently represented using graph structures. In this paper we explore the use of a spectral invariant which is based on the wave kernel trace to characterize graphs. The wave kernel is the solution of wave equation defined using the Edge-based Laplacian...
We present a new framework to fit a path to a given finite set of data points on a Riemannian manifold. The path takes the form of a continuously-differentiable concatenation of Riemannian Bezier segments. The selection of the control points that define the Bezier segments is partly guided by the differentiability requirement and by a minimal mean squared acceleration objective. We illustrate our...
With the development of computer-aided education and digital library, there have emerged large numbers of digital documents online for education purposes. However, it is far from convenient to retrieve mathematic geometry questions because current retrieval systems largely rely on keywords instead of geometry figure images. We focus on plane geometry figure (PGF) image retrieval aiming at retrieving...
Adult image detection plays an important role in Internet pornographic information detection and filtering. By analyzing the shortcomings of existing pornographic image detection algorithms depending only on image content or keywords of text, a new adult image detection algorithm fusing image semantic features and image-correspondent text information is proposed. Based on Bag-of-Visual-Words model,...
In this paper, we describe a framework for surface registration. The framework consists of a combination of rigid registration, elasticity modulated registration and the use of a shape model prior. The main goal in this paper is to minimize the geometric surface registration error while maintaining correspondences. Experiments show improved geometric fit, correspondence, and timing compared to the...
Recently introduced high-accuracy RGB-D cameras are capable of providing high quality three-dimension information (color and depth information) easily. The overall shape of the object can be understood by acquiring depth information. However, conventional methods adopted this camera use depth information only to extract the local feature. To improve the object recognition accuracy, in our approach,...
To detect and identify viruses in electron microscopy images is crucial in certain clinical emergency situations. It is currently a highly manual task, requiring an expert sitting at the microscope to perform the analysis visually. Here we focus on and investigate one aspect towards automating the virus diagnostic task, namely recognizing the virus type based on their texture once possible virus objects...
The need for efficient tools to index and retrieve 3D content becomes even more acute. This paper presents a fully automatic 3D-object retrieval method. It consists of two main steps namely shape signature extraction to describe the shape of objects, and similarity computing to compute similarity between objects. In the first step (signature extraction), we use a shape descriptor called geodesic cords...
In this paper, we propose a hybrid model-based tracker for simultaneous tracking of 3D head pose and facial actions in sequences of texture and depth frames. Our tracker utilizes a generic wireframe model, the Candide-3, to represent facial deformations. This wireframe model is initially fit into the first frame by an Iterative Closest Point algorithm. Given the result after the first frame, our tracking...
In mathematical morphology the tree of shapes of a gray level image is a versatile representation that allows for multiple powerful applications. That structure is highly interesting because it is a self-dual representation invariant by contrast changes and since many authors state that object contours are well described by level lines. Such a representation has not yet been defined (thus used) on...
Effective information retrieval on handwritten document images has always been a challenging task, especially historical ones. In the paper, we propose a coarse-to-fine handwritten word spotting approach based on graph representation. The presented model comprises both the topological and morphological signatures of the handwriting. Skeleton-based graphs with the Shape Context labelled vertexes are...
This paper presents a common stochastic modelling framework for physiological signals which allows patient simulation following a synthesis-by-analysis approach. Within this framework, we propose a general model-based methodology able to reconstruct missing or artifacted signal intervals in cardiovascular monitoring applications. The proposed model consists of independent stages which provide high...
Distance measures are a requirement in many classification systems. Euclidean distance is the most commonly used in these systems. However, there exists a huge number of distance and similarity measures. In this paper we present an experimental analysis of crisp distance and similarity measures applied to shapes classification and Arabic sentences recognition.
Image matching is a key issue in Vision-Based UAV navigation problems. This paper presents an affine and rotation-invariant SIFT features descriptor for matching UAV image with satellite images. The SIFT and ASIFT algorithm are nowadays widely applied for robust image matching, but it also has a high computational complexity. SURF is used for real-time UAV position estimation but is not satisfied...
The interest of this paper is to present a new efficient method for indexing and retrieval of three-dimensional objects in general databases. The proposed method is based on Bag of Features (BoF) paradigm, and salient characteristics of objects. We first extract the salient points of target object using a scalar function calculated on the surface. Then, each interest point is associated with local...
A general framework for the shape reconstruction of conducting objects is presented with the Newton minimization approach. Using a fully numerical method, the initial-guess object is evolved to reconstruct the target. The object is modeled by triangles such that the vertices are the unknowns of the inverse-scattering problem. The cost function is minimized as the evolving object converges to the actual...
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