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Camera tracking is an important issue in many computer vision and robotics applications, such as, augmented reality and Simultaneous Localization And Mapping (SLAM). In this paper, a feature-based technique for monocular camera tracking is proposed. The proposed approach is based on tracking a set of sparse features, which are successively tracked in a stream of video frames. In the developed system,...
Estimating the main magnetic field inhomogeneity is important for many magnetic resonance imaging (MRI) techniques. Regularized estimation methods can provide accurate estimates that intrinsically avoid phase wrapping, account for the chemical shift due to fat, and reduce noise. However, these methods require minimizing nonconvex cost functions and existing algorithms are undesirably slow or do not...
Microscopic analysis of neuronal cell morphology is required in many studies in neurobiology. The development of computational methods for this purpose is an ongoing challenge and includes solving some of the fundamental computer vision problems such as detecting and grouping sometimes very noisy line-like image structures. Advancements in the field are impeded by the complexity and immense diversity...
We propose a structured low rank matrix completion algorithm to recover a time series of images consisting of linear combination of exponential parameters at every pixel, from undersampled Fourier measurements. The spatial smoothness of these parameters is exploited along with the exponential structure of the time series at every pixel, to derive an annihilation relation in the k − t domain. This...
Computational analyses of the growing corpus of three-dimensional (3D) structures of proteins have revealed a limited set of recurrent substructural themes, termed super-secondary structures. Knowledge of super-secondary structures is important for the study of protein evolution and for the modeling of proteins with unknown structures. Characterizing a comprehensive dictionary of these super-secondary...
We further delay embedding framework application to multiple time series for extraction of their potential causal interactions. We introduce a novel geometric model-free causality measure that can efficiently detect linear and nonlinear causal interactions between time series with no prior information or parameter estimation. Using multivariate delay embedding, we construct a point cloud from a set...
This paper presents a novel method for personalized video preference estimation based on early fusion using multiple users' viewing behavior. The proposed method adopts supervised Multi-View Canonical Correlation Analysis (sMVCCA) to estimate correlation between different types of features. Specifically, we estimate optimal projections maximizing the correlation between three features of video, target...
Human body analysis raises special interest because it enables a wide range of interactive applications. In this paper we present a gesture estimator that discriminates body poses in depth images. A novel collaborative method is proposed to learn 3D features of the human body and, later, to estimate specific gestures. The collaborative estimation framework is inspired by decision forests, where each...
In this paper, 3D sound source localization method for simultaneously estimating both direction-of-arrival (DOA) and distance from the microphone array is proposed. For estimating distance, the off-grid problem must be overcome because the range of distance to be considered is quite broad and even not bounded. The proposed method estimates positions based on an extension of the convex clustering method...
A novel patch-based multi-view image denoising algorithm is proposed. This method leverages the 3D focus image stacks structure to exploit self-similarity and image redundancy inherent in multiple view images. Then a depth-guided adaptive window and dynamic view selection criterion is developed to aid proper selection of most consistent patches for the multi-view image denoising. Extensive experiments...
The acoustic properties of speech signals are largely determined by the shaping of the vocal tract. Thus, measurements of vocal-tract area functions and their relationship to various properties of the speech signal have been of interest to the speech research community. Recent advances in Magnetic Resonance Imaging (MRI) allow direct 3D volumetric imaging of the upper airway during production of sustained...
Optical flow computation consists in recovering the apparent motion field between two images with overlapping fields of view. This paper focuses on a subset of optical flow problems, called epipolar flow, where the camera moves inside a scene containing no moving objects. Accurate solutions exist but their high computational complexities make them non suitable for a large panel of real-time applications...
This paper presents a method of estimating the geometry of a room and the 3D pose of objects from a single 360 panorama image. Assuming ManhattanWorld geometry, we formulate the task as an inference problem in which we estimate positions and orientations of walls and objects. The method combines surface normal estimation, 2D object detection and 3D object pose estimation. Quantitative results are...
This paper presents an innovative technique for 3D depth estimation from a single holoscopic 3D image (H3D). The image is captured with a single aperture holoscopic 3D camera, which mimics a fly's eye technique to acquire an optical 3D model of a true 3D scene. The proposed method works by extracting of optimum viewpoints images from a H3D image and it uses the shift and integration function in up-sampling...
This paper presents semi-automatic method hybrid depth map generation using fusion of monocular cues. Depth Estimation is generally done using stereoscopic cameras. It is a difficult task to estimate depth from single view camera. In this paper, fusion of four monocular cues as-Motion cue, Linear perspectivecue, Aerial perspective cue and defocus are proposed for depth estimation using single camera...
This paper involves trajectory planning for a low-cost UAV with limited sensing capability. The UAV must be able to safely reach its destination provided it can only gather limited information about its environment. We apply the velocity obstacle approach since it is applicable even with our model's limitation. When an obstacle is detected, the only information available is the distance to the obstacle...
The research topics in the areas of photogrammetry and computer vision to Model 3D objects from image sequences are significant for many years. This paper proposes rectification of un-calibrated stereo images and real time depth estimation and measurement of objects using Intel compute stick. The proposed system uses a pair of hand held USB camera with unknown focal length to visualize un-calibrated...
This article describes an estimation method for the camera pose through stereo vision. This method allows not only the camera localization, and trajectory finding, but also the realization of a map of characteristics. The proposed algorithm is based on the trilateration method for n spheres and its iterative implementation to solve 3D-3D Visual Odometry. To detect keypoints, SIFT algorithm is used...
This paper presents a design algorithm of a dual rotor axial flux induction motor, constructed from two cage rotors and a toroidal wound stator. The steady state performance of the motor is analyzed using equivalent circuit and time stepping 3D finite elements method (FEM). The results show the correctness of proposed design algorithm and also show the high accuracy of equivalent circuit model for...
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