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The lack of haptic feedback during minimally invasive surgery can cause significant tissue damage and increase morbidity. Estimating the applied force from endoscopic images is a promising approach, especially using binocular images. However, many existing operation rooms are only equipped with monocular endoscopes, making force estimation more problematic. In this paper a new method for estimating...
Determining shape of the eyeball is important to diagnose eyeball disease like myopia. In this paper, we present an automatic approach to precisely reconstruct three dimensional geometric shape of eyeball from MR Images. The model development pipeline involved image segmentation, registration, B-Spline surface fitting and subdivision surface fitting, neither of which required manual interaction. From...
Three-dimensional (3D) endocardium visualization plays an extremely important role in localization and ablation of target areas and can improve the cure rate in computer-aided cardiac surgery. In this paper, we discuss how to reconstruct and update the corresponding endocardium surface model quickly and accurately based on the sparse point cloud that is collected dynamically on the left atrial intima...
The hippocampus is widely studied with neuroimaging techniques given its importance in learning and memory and its potential as a biomarker for brain disorders such as Alzheimer's disease and epilepsy. However, its complex folding anatomy often presents analytical challenges. In particular, the critical hippocampal subfield information is usually ignored by hippocampal registration in detailed morphometric...
A new pruning algorithm is introduced to remove peripheral branches of scarce relevance from the curve skeleton of 3D objects, while keeping the more relevant branches untouched. The algorithm does not require fine tuning of the parameters involved in the criteria suggested to evaluate branch significance and, in the average, produces satisfactory results.
This paper describes a modeling method that enables generation of a 3D shape model for movable parts of furniture and home appliances. Furniture such as refrigerators, shelves, and cabinets were targeted in this research. The proposed method is based on the tracking of 3D surfaces extracted from depth images captured by a 3D range camera. Both exterior and interior sides of an articulated part can...
In this paper, we describe a framework for surface registration. The framework consists of a combination of rigid registration, elasticity modulated registration and the use of a shape model prior. The main goal in this paper is to minimize the geometric surface registration error while maintaining correspondences. Experiments show improved geometric fit, correspondence, and timing compared to the...
Right ventricular (RV) function is increasingly recognized to play an important role in the clinical status and long-term outcome in patients with congenital heart disease as well as ischemic cardiomyopathy with left ventricular dysfunction. However, quantification of RV characteristics and function are still challenging due to its complex morphology and its thin wall with coarse trabeculations. To...
The cerebral cortex is folded into gyri and sulci in the brains of higher mammals. Quantitative study of the process by which the cortex folds during brain development is critical to a complete understanding of normal brain development and neuro-developmental disorders. In this work, we propose a new method by which to localise nonlinearities in the cortical folding process, and thereby identify regions...
This paper presents the use of GPR for monitoring of an underground coal gasification process. The GPR data are used for monitoring a cavern development, which is one of the most important parameter influencing the efficiency of the process. The georadar data were collected during UCG experiments in the way which allows reconstruction of the cavern shape. Besides GPR data acquisition the numerical...
We present the performances of compression analysis for the phase image resulted from different phase unwrapping algorithms applied to fringe projection profilometry. Since three-dimensional (3D) surface shape information of objects can be extracted from the phase maps of objects, the phase unwrapping is critical to many 3D applications for obtaining accurate phase. To reduce the size of storage and...
Cultural heritage is often not accessible to visually impaired and blind people, hardly ever when dealing with two-dimensional artworks like, for instance, paintings. In fact, despite tactile reproductions of 3D works of art such as sculptures or architectural models are quite common, a real barrier between blind people and pictorial artworks still exists, obviously due to their intrinsic 2D format...
The process of formation of point sources of charged particles based on growing of the nanoprotrusions on surface of tungsten carbide field emitters was studied. The protrusions were grown by simultaneous action on the emitters of strong electric fields and high temperatures. Such nanoprotrusions allowed to reducemission angles very considerably and to emit both electrons and various ions.
Three-dimensional reconstruction of objects with smooth surface has poor results. In this paper, a method of the online rail profile with smooth surface based on Fourier Transform Profilometry (FTP) is put forward. After analyzing the reflective polarization, phong illumination model and FTP method, the online rail shape with smooth surface are reconstructed, after eliminating the highlight region...
In this work, we present a novel representation which enables a robot to reason about, transfer and optimize grasps on various objects by representing objects and grasps on them jointly in a common space. In our approach, objects are parametrized using smooth differentiable functions which are obtained from point cloud data via a spectral analysis. We show how, starting with point cloud data of various...
Myeloarchitecture of cerebral cortex has crucial implication on the function of cortical columnar modules. Based on the recent development of high-field magnetic resonance imaging (MRI), it was demonstrated that it is possible to individually reconstruct such intracortical microstructures. However, there is a scarcity of publicly available frameworks to perform group-wise statistical inferences on...
Amoeboid cell motility is characterised by the emission of protrusions at the cellular surface (also known as “blebs”). Detection and counting of these protrusions is a crucial step towards the understanding of the deformation and motility machinery. We propose an automated technique to detect protrusions at the surface of cells observed in 3D fluorescence microscopy using over-complete spherical...
We present a method for computing surface models from MRI images with specific design for vocal tract extraction. As the vocal tract consists of empty space with connection to the outside, it is difficult to segment with common methods based on consideration of intensity differences. In the proposed method, surfaces are extracted via three steps. First, void voxels in an image of a human head are...
This paper presents a system for robust dynamic human surface reconstruction using a single Kinect. The single Kinect provides a self-occluded and noisy RGBD data. Thus it is challenging to track the whole human surface robustly. To overcome both incompleteness and data noise, we adopt a template to confine the shape in the un-seen part, and propose a two-stage tracking pipeline. The first stage tracks...
We present a novel 3D ear shape matching algorithm. Firstly, we compute the saliency value of every point in 3D ear point cloud using the Gaussian-weighted average of the mean curvature, sort the points in accordance with their saliency value, Then we get the salient key points set using the poisson sampling. Finally, we fit the neighborhood of each salient key point using quadratic principal manifold,...
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