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This work tackles the challenging problem of multi-shot person re-identification in realistic unconstrained scenarios. While most previous research within re-identification field is based on single-shot mode due to the constraint of scales of conventional datasets, multi-shot case provides a more natural way for person recognition in surveillance systems. Multiple frames can be easily captured in...
Patients waiting for heart transplantation due to a failing heart can get a left ventricular assist device (LVAD) implanted through open chest surgery. The device consists of a pump that pumps blood from the left ventricle into the aorta. To get the correct rotation speed of the pump, the physicians consider a number of measurements as well as a sequence of echocardiographic images. The important...
Huge variety of medicine cures diseases. But unlabeled pills sometimes confuse people, even causing adverse drug events. This paper introduces a high accuracy automatic pill recognition method based on pill imprint which is a main discriminative factor between different pills. To describe the imprint information clearly, we propose a Two-step Sampling Distance Sets (TSDS) descriptor based on Distance...
Active contour is a popular technique for vascular segmentation. However, existing active contour segmentation methods require users to set values for various parameters, which requires insights to the method's mathematical formulation. Manual tuning of these parameters to optimize segmentation results is laborious for clinicians who often lack in-depth knowledge of the segmentation algorithms. Moreover,...
Deformable non-rigid 3D shape retrieval plays an important role in various applications. Although there are many related works, their precision and robustness are not ideal. In this paper, we develop a novel retrieval method by using graph contexts, which consists of three steps. Initially, we evaluate the performance of spectral distances for deformable shape representation, which has not been studied...
Vector field visualization is an important aid to help user understand data of complex spatial features in scientific and engineering applications. This paper summarizes relative researches on vector field visualization completely and systematically, gives an induction on major techniques, compares their advantages and shortcomings, and introduces some representative related or cross-over studies...
Diffusion geometry has been adopted in various shape processing applications, ranging from pattern recognition to more recent 3D shape analysis. But scaling factors have a great influence on the results of non-rigid shape processing such as shape retrieval, correspondence and comparison. There remains a difficult challenge for shape processing without a priori knowledge of the scale of the input shapes...
The local feature descriptor called SIFT, is one of the most widely used descriptors. The keypoints found with RSIFT and describe them in a standard way, which makes them invariant to the size changes, rotation, position, scale, and so on. These are quite powerful features and are used in a variety of tasks. This local feature SIFT descriptor gives potential key points, which are extracted from the...
Points of interest (PoI) data serves an important role as a foundation for a wide variety of location-based services. Such data is typically obtained from an authoritative source or from users through crowd sourcing. It can be costly to maintain an up-to-date authoritative source, and data obtained from users can vary greatly in coverage and quality. We are also witnessing a proliferation of both...
Indian stone inscriptions play an important role in the reconstruction of the history of India. Kannada is considered the oldest language next to Sanskrit, Prakrit, and Tamil. According to linguists Tamil and Kannada branched off simultaneously from the Dravidian language of South India before the Christian Era. Indian epigraphy becomes more widespread over the 1st millennium, engraved on the faces...
This paper proposes a new approach for non-rigid structure from motion with occlusion, based on sparse representation. We introduce sparse transform to the joint estimation of 3D shapes and motions. 3D shape trajectory space is fit by wavelet basis to achieve better modeling of complex motion. We address the occlusion problem based on the latest developments on sparse representation: matrix completion,...
Pixel-scale fine details are often lost during image processing tasks such as image reduction and filtering. Block or region based algorithms typically rely on averaging functions to implement the required operation and traditional function choices struggle to preserve small, spatially cohesive clusters of pixels which may be corrupted by noise. This article proposes the construction of fuzzy measures...
Point matching is an important component of image registration. Recent years, Coherent Point Drift (CPD) method becomes a very popular point matching approach. CPD treats point matching as a probability estimation problem and speeds up the process of matching a lot. In this method, one set of points are thought to be sampled from a Gaussian Mixture Model (GMM), which is centered by the other set of...
Pedestrian detection is widely needed in many applications, such as people counting, surveillance and scene understanding. In this paper, we propose a robust stereo vision based approach using novel structure maps of static scene, which can be generated from the disparity image and represents the geometry profiles of 3D objects in pixels. Both of the background subtraction and pedestrian detection...
The pixel-based classification of remotely sensed images always produces a large amount of “speckled” or “salt and pepper” noises. Both post-classification smoothing and object-based classification techniques have been proposed to tackle this problem. However, most of them are not adequate to deal with the noises in object-based classification of very high resolution (VHR) remote sensing imagery,...
Contour representation is an important application in image compression, template matching, object detection and recognition. However, it is far from meeting the current requirement due to the expensive computational cost and complex noise in the real-world application. In order to make contour representation more practical, we propose a novel approach of abstracting contours of the objects in an...
Earthquake prediction is very difficult. Surface anomaly before earthquake is a prelude of the underground energy eruption, and it can present its critical state indirectly.Pre-earthquake cloud is one of the most intuitive representations or characterization before the seismic energy completely release. The main contents of this paper include: (1) Based on previous research, this paper focused on...
The paper deals with an experimental evaluation of a modular design of the disturbance observer (DO) based filtered PI control with scalable filtering properties (DO-FPI). Based on simple one-parameter tuning methods it compares outcomes of its application to the speed servo control using incremental position sensor towards the alternative solution based on the two-degree-of-freedom (2DOF) PI control...
Random projection is a tried-and-true technique in signal processing for reducing sensing complexity while maintaining acceptable performance of downstream processing tasks. In this paper, we investigate random linear projection of point clouds followed by topo-logical data analysis for computing persistence diagrams and Betti numbers. In this first empirical study of its kind in the literature, we...
This paper presents a method to solve the problem of natural crack shape reconstruction from eddy current testing signals by means of imperialist competitive algorithm (ICA). ICA is a new meta-heuristic optimization and stochastic search strategy which is inspired from socio-political phenomenon of imperialistic competition. In order to evaluate the efficiency on solving crack shape inversion problem,...
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