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We introduce a new technique for performing video segmentation combining the state-of-the-art image segmentation and optical flow algorithms on GPUs. We avoid pre-clustering into superpixels and probabilistic reasoning, and instead view the problem as a generalization of image segmentation techniques. Utilizing spectral clustering techniques at the pixel level (as opposed to 2D/3D superpixels), we...
This paper proposes an approach for image segmentation of the urban traffic scene captured from a car-mounted camera. First of all, an improved SIFT feature matching algorithm is adopted for extracting 2D keypoints of the scene. Tracking the 2D keypoints generates the 3D points clouds that can estimate the 3D world structure and motion features. And then Multiple Kernels Support Vector Machines (MKSVM)...
In this paper, we present a method to extract moving objects in monocular image sequences. The proposed method is based on graph cuts defined on a spatio-temporal region adjacency graph (RAG). First, we initially over-segment each frame in the video, and take the over-segmented regions as the vertices in the 3D spatio-temporal graph. Second, multiple cues are fused together to extract objects accurately...
3D Quantitative measurement of left ventricle (LV) motion on patients with acute myocardial infarction has been recognized as essential for effective LV function diagnosis. This paper presents a method to quantify 3D LV motion obtained from conventional CINE MRI using image analysis based on mathematical modeling. Level set method is employed for segmentation, and a 3D LV geometry was reconstructed...
In this paper we present a high-fidelity method for 2D and 3D image boundary segmentation. The algorithm is a novel combination of graph-cuts and initial image segmentation. The pre-segmentation using anisotropic vector diffusion and the fast marching method is employed so that the size of the graph being considered is significantly reduced. To further improve the segmentation accuracy, some user...
Stereo video object segmentation is a critical technology of the new generation of video coding, video retrieval, Internet and other emerging interactive multimedia field. This paper puts forward a redundant wavelet transform based stereo video object segmentation algorithm. First, the algorithm obtains the disparity map by redundant wavelet transform and then uses the disparity map to do video object...
The study of in utero fetal MR images is essential for the diagnosis of abnormal brain development and the study of the maturation of the brain structures. Because of the particular properties of these images, only a few automated segmentation methods have been developed so far compared to the numerous ones existing for the adult brain anatomy. In this paper, we propose a two-step cortex segmentation...
This paper presents a novel approach to simultaneously compute the motion segmentation and the 3D reconstruction of a set of 2D points extracted from an image sequence. Starting from an initial segmentation, our method proposes an iterative procedure that corrects the misclassified points while reconstructing the 3D scene, which is composed of objects that move independently. This optimization procedure...
In this paper, a stochastic approach for extracting the articulated 3D human postures by synchronized multiple cameras in the high-dimensional configuration spaces is presented. Annealed Particle Filtering (APF) [1] seeks for the globally optimal solution of the likelihood. We improve and extend the APF with local memorization to estimate the suited kinematic postures for a volume sequence directly...
Cell stability and motility depends on a complex dynamic cytoplasmic scaffolding called the cytoskeleton. It is composed of actin filaments, intermediate filaments and microtubules, and interacts with neighbouring cells and the extracellular matrix via specialized adhesion sites - multimolecular complexes responsible for the transmission of mechanical force and regulatory signals. The dynamic behaviour...
Most of the TV manufacturers have released 3DTVs in the summer of 2010 using shutter-glasses technology. 3D video applications are becoming popular in our daily life, especially at home entertainment. Although more and more 3D movies are being made, 3D video contents are still not rich enough to satisfy the future 3D video market. There is a rising demand on new techniques for automatically converting...
We present a novel approach that achieves segmentation of subject body parts in 3D videos. 3D video consists in a free-viewpoint video of real-world subjects in motion immersed in a virtual world. Each 3D video frame is composed of one or several 3D models. A topology dictionary is used to cluster 3D video sequences with respect to the model topology and shape. The topology is characterized using...
A frame-rate conversion (FRC) scheme for increasing the frame-rate of multiview video for reduction of motion blur in hold-type displays is proposed. In order to obtain high quality inter-frames, the proposed method utilizes 3D motion models relying on the 3D scene information extractable from multiview video. First of all, independently moving objects (IMOs) are segmented by using a depth-based object...
We present a method for segmentation of articulated 3D shapes by incorporating the motion information obtained from time-varying models. We assume that the articulated shape is given in the form of a mesh sequence with fixed connectivity so that the inter-frame vertex correspondences, hence the vertex movements, are known a priori. We use different postures of an articulated shape in multiple frames...
We propose a method for segmenting an arbitrary number of moving objects using the geometry of 6 points in 2D images to infer motion consistency. This geometry allows us to determine whether or not observations of 6 points over several frames are consistent with a rigid 3D motion. The matching between observations of the 6 points and an estimated model of their configuration in 3D space is quantified...
This paper presents a method for obtaining the motion segmentation and 3D localization of multiple mobile robots in an intelligent space. Motion segmentation and positioning are obtained from the images acquired using an array of calibrated and synchronized cameras, without previous knowledge about the number of mobile robots. These cameras are placed in fixed positions within the environment (intelligent...
In this paper, we propose an efficient scheme to automatically convert existing 2D videos to 3D ones. The proposed method extracts motion information from two consecutive frames to estimate depth map for each of them. In the method, we first develop a region-based Graph cut method to fast and accurately perform motion segmentation, which is robust to large interframe motions. Then, a depth assigning...
With the increasing availability of 4D cardiac imaging technologies, the need for efficient spatio-temporal segmentation algorithms for the heart is growing. We propose a new method for heart segmentation in 4D data sets. We efficiently use the established graph cut method for the segmentation of the heart by simultaneously exploiting motion and region cues. We construct a 4D graph designed to find...
Left ventricular (LV) remodeling is usually assessed using changes in LV volume, while disregarding regional changes that may occur independently of volume. We hypothesized that 3D analysis of regional endocardial curvature could provide useful information on localized remodeling. Cardiac magnetic resonance (CMR) images were acquired in 44 patients: 14 normal controls (NL), 15 with dilated cardiomyopathy...
For the viability assessment in patients with infarcts, myocardial hyperenhancement on Delayed-Enhancement Cardiac MRI (DE) can be anatomically localized using Cine Cardiac MRI (Cine). An automatic rigid registration method, using the Normalized Mutual Information (NMI) maximization was proposed to refine the registration of the functional (DE) and anatomical (Cine) images. The full process including:...
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