The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
We present a method to jointly refine the geometry and semantic segmentation of 3D surface meshes. Our method alternates between updating the shape and the semantic labels. In the geometry refinement step, the mesh is deformed with variational energy minimization, such that it simultaneously maximizes photo-consistency and the compatibility of the semantic segmentations across a set of calibrated...
Significant progress has been recently made in Non-Rigid Structure-from-Motion (NRSfM). However, existing methods do not handle poorly-textured surfaces that deform non-smoothly. These are nonetheless common occurrence in real-world applications. An important unanswered question is whether shading can be used to robustly handle these cases. Shading is complementary to motion because it constrains...
3D shape models are naturally parameterized using vertices and faces, i.e., composed of polygons forming a surface. However, current 3D learning paradigms for predictive and generative tasks using convolutional neural networks focus on a voxelized representation of the object. Lifting convolution operators from the traditional 2D to 3D results in high computational overhead with little additional...
We propose a new model-based method to accurately reconstruct human performances captured outdoors in a multi-camera setup. Starting from a template of the actor model, we introduce a new unified implicit representation for both, articulated skeleton tracking and non-rigid surface shape refinement. Our method fits the template to unsegmented video frames in two stages – first, the coarse skeletal...
In this paper, we propose a prototype system capable of incorporating 3D shape information with conventional TPS-based (thin-plate-spline) volumetric registration method for image atlasing. Our method consists of two phases. The former phase registers and warps the 3D mesh surface models describing the tissue shape boundary of the input image volumes, and the latter aims to align the input image volumes...
Good estimations of volume and surface area are important to biological systems measurement. In this paper we develop a 3D reconstruction from evenly sampled axial views in order to enable the volume and surface area measurement. We develop this system for high throughput applications with the zebrafish model system. The VAST BioImager is specifically developed for this purpose and with this system...
We present a novel approach to reconstruct a 3D object from images corresponding to two different viewpoints: we estimate the skeleton of the object instead of its surface. The originality of the method is to be able to reconstruct a complete tubular 3D object from only two input images. Unlike classical reconstruction methods like multiview stereo, this approach does not rely on interest points but...
We present a descriptor estimator for surface-based 3D input data for coarse localization of mobile robots. From the input pointclouds surfaces are reconstructed and simplified to detect stable keypoints which are used to evaluate rotation and translation invariant features. The invariance is achieved by transforming the triangulated input data into the frequency domain by Fourier transformation and...
Utilizing priors about the shape of retinal surface is important for accurate reconstruction. We present a detailed analysis of geometrical shape priors in the 3D reconstruction of retina. We first approximate the retinal surface either as a sphere inspired by the actual shape of the eyeball, or as a plane inspired by the 2D mosaicing approaches. Based on this approximation, we perform an initial...
We propose a new method for 3D object representation using weighted skeletal graphs. The geometry of an object is captured by assigning weights to the skeletal graph of the object, which in turn represents its topology. The weights provide necessary information for object reconstruction. The method is rotation, translation, and scaling invariant. Applications include shape representation, compression,...
In this paper, we propose a novel method to reconstruct Chinese ancient architecture from incomplete point cloud obtained from multi-view reconstruction approach. The proposed method utilizes both global symmetry and partial symmetry to complete the missing part in the original point cloud. First global symmetry is extracted automatically and a matching cost function based on the images associated...
Shape and volume are two of the most important features of a tumour. In particular, the treatment choices of a tumour are often driven by its volume. Accordingly, the correct estimation of the volume is fundamental to assess the effectiveness of therapy. Very few methods have been proposed in the literature to accurately estimate the tumour's volume arising from one 2D projection and even less provide...
The aim of this work is to present a 3D reconstruction method of the proximal femur shape using contours identification from pairs of 2D X-ray radiographs without any prior acknowledge. 3D personalized model was reconstructed following a processing chain of seven different steps. After localization of the 2D contours on the images and the matching points of these contours, a 3D contour is generated...
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...
Reconstruction of shape and intensity from 2D x-ray images has drawn more and more attentions. Previously introduced work suffers from the long computing time due to its iterative optimization characteristics and the requirement of generating digitally reconstructed radiographs within each iteration. In this paper, we propose a novel method which uses a patient-specific 3D surface model reconstructed...
Quantifying and visualizing the shape of developing biological tissues provide information about the morphogenetic processes in multicellular organisms. The size and shape of biological tissues depend on the number, size, shape, and arrangement of the constituting cells. To better understand the mechanisms that guide tissues into their final shape, it is important to investigate and measure the cellular...
We propose a novel algorithmic solution for estimating a three-dimensional model of an object observed in a single image. Based on a minimal user input, the algorithm interactively determines the objects' silhouette and subsequently computes a silhouette-consistent 3D model which is precisely the globally minimal surface with user-specified volume. In contrast to a recently published approach to single...
Inverse problems are abundant in vision. A common way to deal with their inherent ill-posedness is reformulating them within the framework of the calculus of variations. This always leads to partial differential equations as conditions of (local) optimality. In this paper, we propose solving such equations numerically by isogeometric analysis, a special kind of finite-elements method. We will expose...
In this paper, we present a system for segmenting the 3D liver region from CT images and reconstructing its 3D model. The segmentation is accomplished in 3-D space which is extended from the user controlled 2-D random walker technique and implemented by a slice-section method. After obtaining the 3D liver segmentation result, we apply the surface reconstruction algorithm based on bipartite polar classification...
OpenGL and VC++ are used to reconstruct the layer data of wood images. Firstly, interpolate the contour lines of layer images. Secondly, get the continuity of the contour lines. Finally, bi-cubic B-spline surface is used to reconstruct the layer data. Experimental results show that the proposed algorithm can make a group of layer data of rotten wood images to a 3D image, and provide the application...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.