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Small infrared target detection in complex backgrounds is a challenging task. Due to dynamic background clutter and low signal-to-clutter ratio, most conventional methods fail to produce satisfactory results. In this paper, an effective spatial and temporal filter is proposed. The spatial filter is used to remove cloud edge, and the temporal filter is used to remove point-like background clutter....
Automatic segmentation of the left ventricle (LV) can become a useful tool in echocardiography, for instance to provide automatic ejection fraction measurements or to initialize deformation imaging algorithms. Deep neural networks have recently shown very promising results for improving image classification and segmentation. These methods learn using only a set of input and output data, but require...
Quantitative analysis of vesicle-plasma membrane fusion events in the fluorescence microscopy, has been proven to be important in the vesicle exocytosis study. In this paper, we present a framework to automatically detect fusion events. First, an iterative searching algorithm is developed to extract image patch sequences containing potential events. Then, we propose an event image to integrate the...
The paper introduces an accurate solution to dense orthographic Non-Rigid Structure from Motion (NRSfM) in scenarios with severe occlusions or, likewise, inaccurate correspondences. We integrate a shape prior term into variational optimisation framework. It allows to penalize irregularities of the time-varying structure on the per-pixel level if correspondence quality indicator such as an occlusion...
Obstacle removal is a classic problem in image processing. Because the content behind obstacle can't be deduced only from one image, we introduce a motion obstacle removal problem from an image sequence. It is regarded as a sparse problem with the obstacles as noise. First we match the images with image features to transform the images to the same camera coordinate system. The features of motion objects...
This paper proposes a reinforcement learningframework for the extraction of objects' borders in sequentialimages. In this method, an agent-based approach is proposedto find the appropriate local values and detect the edges ofobjects in the images. Due to its dynamic nature, this methodcould have potential for segmenting similar objects in imagesequences that have the same nature.
3D object categorization is a non-trivial task in computer vision encompassing many real-world applications. We pose the problem of categorizing 3D polygon meshes as learning appearance evolution from multi-view 2D images. Given a corpus of 3D polygon meshes, we first render the corresponding RGB and depth images from multiple viewpoints on a uniform sphere. Using rank pooling, we propose two methods...
Phase synchronization issue, that is caused by spotting gestures from video stream, varying frame-rates, speed of subject's implementation, should be overcome in developing Human-Computer Interaction (HCI) application using dynamic hand gestures. This paper tackles an interpolation technique to efficiently solve this issue. We firstly propose a new representation of dynamic hand gestures space that...
Moving object localization is a popular study in contemporary computer vision, provided the fact that many challenging problems, such as illumination changes, obstacles, object shape transformation, etc, are still to be deeply investigated and properly tackled in moving object localization for the time being. In this study, a new clustering-based strategy is introduced to realize the moving object...
This paper briefly introduces a novel semiautomatic method to segment the pancreas volume from CT image sequences. Existing hybrid Level Set Methods (LSM) is applicable for extracting the full size pancreas from single abdominal CT image. To extract shape and size varying pancreas from continuous CT image sequences, an adaptive hybrid level set method is proposed. Proposed method uses Fast Marching...
The tracking of moving biological cells in time-lapse video sequences is fundamental to further understanding biological processes. Automatic cell tracking techniques require accurate cell image segmentation; however, current segmentation techniques are susceptible to errors due to non-ideal but realistic cell image conditions, including low contrast typical of cell microscopic images. This paper...
This paper tackles the problem of estimating non-rigid human 3D shape and motion from image sequences taken by uncalibrated cameras. Similar to other state-of-the-art solutions we factorize 2D observations in camera parameters, base poses and mixing coefficients. Existing methods require sufficient camera motion during the sequence to achieve a correct 3D reconstruction. To obtain convincing 3D reconstructions...
In this paper a procedure for visualisation of videoconference image sequences using Virtual Reality Modeling Language (VRML) 2.0 is described. First, image sequence analysis is performed in order to estimate the shape and motion parameters of the person talking in front of the camera. For this purpose, we propose the K-Means with connectivity constraint algorithm general segmentation algorithm combining...
Egocentric videos are foreseen to be collected pervasively as smart glasses continue emerging in the market. Large amount of interpersonal social events will be recorded and stored online as big video data. However, limited method has been proposed to retrieve useful social information from them, such as other people's identity, emotion and head gestures. In this paper, we propose retrieving 3D facial...
Cellular morphology is widely applied in digital pathology and is essential for improving our understanding of the basic physiological processes of organisms. One of the main issues of application is to develop efficient methods for cell deformation measurement. We propose an innovative indirect approach to analyze dynamic cell morphology in image sequences. The proposed approach considers both the...
Development of automatic multiple intracellular-objects tracking methods is one of the significant challenges in Bioimage-Informatics. The challenge becomes more difficult in case the tracking targets have the same shape and appearance. In order to obtain stable results under that condition, we propose a tracking method based on global optimization. Particularly, we first detect tracking targets by...
There is strong interest in fast, accurate automated examination and detection of pathologies in vocal-fold function. Such systems could assist in detecting abnormalities during screenings, monitor treatment progress, and compare results after therapy or surgical intervention. It has been shown that analysis of the vocal-fold area as a function of time can be beneficial in the detection and diagnosis...
This paper addresses the problem of advanced silhouette tracking with no prior information, and proposes shape-oriented segmentation together with graph matching corroboration. In terms of unified energy minimization, the shape-oriented graph cut in segmentation exploits the shape information by penalizing the feature points in alignment with shape-oriented map of adjacent frames. While reducing the...
This paper proposes a method of gait recognition using not only shape feature but also motion feature from silhouette image sequences. The inner silhouette motion called pseudo motion is constructed by dividing the silhouette shape into small clusters and by computing many-to-many correspondence via earth mover's morphing framework. The raw pseudo motion, however, tends to be locally fluctuated in...
In this paper, we present a new method to generate a 3D face model, based on both Data-Driven and Structure-from-Motion approach. Considering both 2D frontal face image constraint, 3D geometric constraint, and likelihood constraint, we are able to reconstruct subject's face model accurately, robustly, and automatically. Using our method, it is possible to create a 3D face model in 5.8 [sec] by only...
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