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The QRS detection algorithms based on properties of most cardio signals and barely sensitive to the QRS shape are considered in the paper. Signal energy and velocity of signal fluctuations are such kind of properties. The implementation of these algorithms allows to detect QRS among other ECG elements. Two new algorithms which develop the idea of widely known Pan-Tompkins algorithm are suggested....
Vision-based pose estimation is particularly important for small sized mobile robots and aerial vehicles that have limited payload constraints. Accurate localization is of importance for any autonomous vehicle, especially in indoor and GPS-denied (Global Positioning System) environment. The aim of this work is to provide a solution for the pose estimation of an autonomous vehicle using monocular vision...
Cloud is a common element of the sky and plays an important role in outside scene modeling. In this paper, a novel cloud surface shape estimation method from an image is proposed based on Shape from Shading(SFS). Shape from shading(SFS) algorithm is inherently ill-posed for the one image, which means that no shape or more shapes may synthetic the same input image. To estimate the cloud surface shape...
In this paper we present a novel approach for 3D facial expression recognition based on a registration method. The used registration method, called the Coherent Point Drift (CPD), is applied to estimate complex non-linear and nonrigid transformation between 3D facial surfaces. The computed transformation allows to recover shape deformations that are induced by facial expression variations. Machine...
The clustering algorithm by fast search and find of density peaks is shown to be a promising clustering approach. However, this algorithm involves manual selection of cluster centers, which is not convenient in practical applications. In this paper we discuss the correlation between density peaks and cluster centers. As a result, we present a new local density estimation method to highlight the uniqueness...
Body orientation gives useful information on assessing a human's state and/or predicting his/her future actions. This paper presents a method of reliably estimating human body orientation using a LIDAR on a mobile robot by integrating shape and motion information. A shape database is constructed by collecting body section shape data from various viewpoints. The result of matching between an input...
Applications like automatic safe lane change and adaptive forward collision avoidance are increasingly based on connected vehicles approach. At the heart of communications-based automotive safety applications lies the need for reliable position estimation. Augmenting GPS positioning by utilizing short-range wireless and other on-board sensors improve positioning accuracy. However, the introduction...
The ubiquitous hand gesture plays an important role in the natural human machine interaction (HMI). Recently, the consumer color and depth cameras have been used to estimate hand shapes and postures for the mid-air HMI. Under the observation that 3D hand contours possess much information of hand postures, we estimate 3D hand contours from infrared images with a limited computation complexity for the...
Warping-based image stitching methods often suffer from perspective variations among multiple images and lead to shape and perspective distortions in stitching results. Moreover, they also quickly lose their efficiency in low-textured images, due to the lack of reliable point correspondences. To solve these problems, this paper presents a locally warping-based image stitching by imposing line constraints...
One of the more challenging real-world problems in computational intelligence is to learn from non-stationary streaming data, also known as concept drift. Perhaps even a more challenging version of this scenario is when - following a small set of initial labeled data - the data stream consists of unlabeled data only. Such a scenario is typically referred to as learning in initially labeled nonstationary...
To achieve the goal of frontal vehicle detection in night-driving condition, we propose an effective method to detect the red taillights of vehicles. The challenge is that the taillight images captured with automatic exposure typically are overexposed, which makes red color segmentation often erroneous. Instead of customizing the camera hardware to tackle this problem, we combine morphological and...
This paper proposes a gaze estimation algorithm using 3-D eyeball model and eyelid shape. The gaze estimation suffers from differences of eye shapes and individual behaviors, and requires user-specific gaze calibration. The proposed method exploits the usual 3-D eyeball model and shapes of the eyelid to estimate gaze without user-specific calibration and learning. Since the gaze is closely related...
Curve-skeletons encode both geometrical and topological information of 3D volumes (sets of voxels), and are key to many applications. However, due to the complexity and variability of the shapes, there is a variety of algorithms yielding skeletons suitable for certain objects, but inappropriate for others. In this article, we are interested in filtering skeletons of digital tubular objects with varying-diameter...
The paper explains about tracking a dynamically changing arbitrary shaped structure, important for determining their boundary and position estimation for advanced warning. The proposed algorithm uses active contour detection algorithm to construct the effective contour in each frame. Then Hungarian based Kalman filter is used to achieve best accuracy in estimation of future positions using multi-point...
The automatic age estimation systems from facial images are often very complex and difficult to achieve, because of the aging process complexity. Such a system can be used in security, man-machine interactions, and biometrics. Research in this field has advanced during the last years. This paper proposes an age estimation system based on the shape and gray level texture intensity, extracted from facial...
In this paper, we propose a dense approach for 3D rotation estimation between spherical images, which is simultaneously able to recover the large rotations, robust under clutter and small translations. The key idea is to represent the spherical images by 3D shapes of the triangular mesh surfaces based on image intensity signal. This allows to apply the spherical harmonics representation as 3D shape...
MFL (Magnetic Flux Leakage) type NDT(Nondestructive testing) has been applied for the highly efficient inspection of defects underground gas pipelines. From the measured sensor signals, it is necessary to decompose or estimate the size and shape of defects for the maintenance of underground pipelines. In the maintenance, the depth estimation is the most important procedure for the management of safety...
We represent human body shape estimation from binary silhouettes or shaded images as a regression problem, and describe a novel method to tackle it using CNNs. Utilizing a parametric body model, we train CNNs to learn a global mapping from the input to shape parameters used to reconstruct the shapes of people, in neutral poses, with the application of garment fitting in mind. This results in an accurate,...
This paper presents a novel rotation estimation approach based on 3D mesh representation of spherical images. Indeed, unit sphere is becoming a natural space for projecting images captured from the central cameras (conventional and non-conventional cameras, as omnidirectional camera) and obtaining the spherical images. The proposed method relies on representing the spherical images into a 3D space...
We present a single-shot system to recover surface geometry of objects with spatially-varying albedos, from images captured under a calibrated RGB photometric stereo setup—with three light directions multiplexed across different color channels in the observed RGB image. Since the problem is ill-posed point-wise, we assume that the albedo map can be modeled as piece-wise constant with a restricted...
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