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The modern trend in medical diagnosis is to create 3D medical model of human organ based on 2D image such as CT and MRI, has been familiar and used in clinical diagnosis by surgeon recent years, because 3D model includes and reflects more information in detail than 2D image. 3D medical model has many utilities, including surgery plan design and simulation, defect area inspection, personalized implant...
High-level vision applications often incorporate image segmentation techniques into their preprocessing stages to reduce image data and to improve overall execution efficiency. Traditional segmentation approaches often focus on creating homogenous, connected regions of pixels to roughly correspond with image object boundaries. These methods tend to blend or remove important image details and are often...
We present a fusion of augmented reality (AR) and virtual try on (VTO) that incorporates sparse 3D point recovery by exploiting distance constraints based on 2D point correspondences between a deformed texture in monocular video and a reference texture which is derived from the start of the sequence by face detection aided segmentation. A hierarchical and multi-resolution surface reconstruction approach...
In this paper, we present a novel interactive 3D reconstruction algorithm which renders a planar reconstruction of the scene. We consider a scenario where the user has taken a few images of a scene from multiple poses. The goal is to obtain a dense and visually pleasing reconstruction of the scene, including non-planar objects. Using simple user interactions in the form of scribbles indicating the...
One of the most remarkable facts of the human visual system is that it rapidly and accurately understands the characteristics of the complex visual world - the relative depth with respect to different objects in the scene, occluded objects in the scene, etc. due to prior experience and knowledge about the scene. The various types of tasks related to understanding what we see in a visual scene is called...
We present an algorithm for reconstruction of piece-wise planar scenes from only two views and based on minimum line correspondences. We first recover camera rotation by matching vanishing points based on the methods already exist in the literature and then recover the camera translation by searching among a family of hypothesized planes passing through one line. Unlike algorithms based on line segments,...
This paper introduces a stereo vision system for rapid and accurate geometry acquisition of human faces. A moving-window algorithm is proposed to enhance the consistency in searching for corresponding locations on images captured from different views. Effectiveness of the approach is demonstrated by a comparison of correctness with two of the most popular algorithms, the Scale Invariant Feature Transform...
Rock evaluation and return are important work of lunar exploration, they should be done by the lunar rover's hardware and software. A series of algorithms related to rock segmentation, stereo matching and 3D reconstruction which are realized by stereo vision are described in this paper. The experiments based on real image show the validity of the algorithms.
Traditional indoor 3D structural environment modeling algorithms employ schemes such as clustering of dense point clouds for parameterization and identification of the 3D surfaces. RANSAC based plane fitting is one common approach in this regard. Alternatively, extensions to feature based stereo have also been used, mainly focusing on 3D line descriptions, along with techniques such as half-plane...
Endoscopy is a standard imaging modality commonly used in different medical fields like lesion diagnosis in hollow organs or mini-invasive surgery. Meanwhile, endoscopic data suffer from the fact that each image of a video-sequence only corresponds to a small 2D field of view. This paper presents a mosaicing algorithm leading to visually coherent large field of view maps. The ability of the algorithm...
In this paper, we propose a new algorithm for optimizing surface texture mosaics when texturing 3D model reconstructed from multi-views of objects from real world. We start with the 3D geometry acquired by structure from motion (SFM) approach. Then, the photographic images for acquiring 3D structure are used as texture data and mapped precisely on the surface. Inspired by law of Matthew Effects, we...
Efficient visualization of vascular structures is essential for diagnosis, therapy planning and medical education. In this paper, we present an approach which is based on a prior binary segmentation result, point extraction and Poisson surface reconstruction. The proposed method has been applied to liver vessel trees and aortic vessel trees. The experimental results show that it can effectively achieve...
3D shape reconstruction of the liver from its 2D cross-sections improves the surgeon's knowledge of liver anatomy and makes even more complicated liver surgery safe, which can be employed to aid clinical practice as an alternative tool. In this paper, a new method for 3D reconstruction of liver is proposed. It mainly consists of three steps: liver auto-segmentation, surface reconstruction and surface...
Piecewise planar models for stereo have recently become popular for modeling indoor and urban outdoor scenes. The strong planarity assumption overcomes the challenges presented by poorly textured surfaces, and results in low complexity 3D models for rendering, storage, and transmission. However, such a model performs poorly in the presence of non-planar objects, for example, bushes, trees, and other...
We propose a multi-view stereo reconstruction algorithm which recovers urban scenes as a combination of meshes and geometric primitives. It provides a compact model while preserving details: irregular elements such as statues and ornaments are described by meshes whereas regular structures such as columns and walls are described by primitives (planes, spheres, cylinders, cones and tori). A Jump-Diffusion...
A number of 3D shape reconstruction algorithms, in particular 3D image segmentation methods, produce their results in the form of binary volumes, where a binary value indicates whether a voxel is associated with the interior or the exterior. For visualization purpose, it is often desirable to convert a binary volume into a surface representation. Straightforward extraction of the median isosurfaces...
Finding the surface of a volumetric 3D object is a fundamental problem in computer vision. Energy minimizing splines, such as active surfaces, have been used to carry out such tasks, evolving under the influence of internal and external energies until the model converges to a desired surface. The present deformable model based surface extraction techniques are computationally expensive and are generally...
A novel approach for 3D anatomical facial reconstruction from 2D CT images using Delaunay Triangulation is proposed in this paper. The method involves individual slice thresholding, contour finding, point cloud generation, Delaunay triangulation and redundant tetrahedron removal. The results are compared with standard marching cube algorithm and with standard commercial 3D software. The performance...
The proposed model is devoted to the segmentation and reconstruction of 3D vascular trees. We rely on an explicit representation of a deformable tree, where topological relationships between segments are modeled. This allows easy posterior interactions and quantitative analysis, such as measuring diameters or lengths of vessels. Starting from a unique user-provided root point, an initial tree is built...
Accurate three-dimensional (3D) models of lumbar vertebrae can enable image-based 3D kinematic analysis. The common approach to derive 3D models is by direct segmentation of CT or MRI datasets. However, these have the disadvantages that they are expensive, time-consuming and/or induce high-radiation doses to the patient. In this paper, we present a technique to reconstruct a scaled 3D lumbar vertebral...
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