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3D Fingerprint Reconstruction

2013
As a 3D object, human finger provides more real and more features for personal identification if 3D fingerprint images are available. This chapter thus studies 3D fingerprint reconstruction technique from touchless multi-view fingerprint images captured by our own designed device, which offers a solution for 3D fingerprint recognition.
David Zhang, Guangming Lu
openaire   +1 more source

3D Reconstruction of Urban Areas

2011 International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission, 2011
Virtual representations of real world areas are increasingly being employed in a variety of different applications such as urban planning, personnel training, simulations, etc. Despite the increasing demand for such realistic 3D representations, it still remains a very hard and often manual process.
Charalambos Poullis, Suya You
openaire   +2 more sources

CRM: Single Image to 3D Textured Mesh with Convolutional Reconstruction Model

European Conference on Computer Vision
Feed-forward 3D generative models like the Large Reconstruction Model (LRM) have demonstrated exceptional generation speed. However, the transformer-based methods do not leverage the geometric priors of the triplane component in their architecture, often
Zhengyi Wang   +8 more
semanticscholar   +1 more source

3D reconstruction: The registration problem

Computer Vision, Graphics, and Image Processing, 1988
Abstract Three dimensional (3D) reconstruction of serial sections through biological tissue is a very important method for visualizing and quantifying the 3D relationships between internal structures. This project involves the automation of the 3D reconstruction process, focusing on the problem of registering or aligning successive serial sections ...
openaire   +1 more source

3D Surface Reconstruction

2013
3D Surface Reconstruction: Multi-Scale Hierarchical Approaches presents methods to model 3D objects in an incremental way so as to capture more finer details at each step. The configuration of the model parameters, the rationale and solutions are described and discussed in detail so the reader has a strong understanding of the methodology.
F. Bellocchio   +3 more
openaire   +1 more source

IM-3D: Iterative Multiview Diffusion and Reconstruction for High-Quality 3D Generation

International Conference on Machine Learning
Most text-to-3D generators build upon off-the-shelf text-to-image models trained on billions of images. They use variants of Score Distillation Sampling (SDS), which is slow, somewhat unstable, and prone to artifacts.
Luke Melas-Kyriazi   +6 more
semanticscholar   +1 more source

3D Image Reconstruction

2010
This chapter is focused on 3D tomographic imaging. In 3D, we will consider the parallel line-integral projections, parallel plane-integral projections, and cone-beam line-integral projections, separately. For the 3D parallel lineintegral projections and parallel plane-integral projections, there exist the central slice theorems, from which the image ...
openaire   +1 more source

B-Deformable Superquadrics for 3D Reconstruction

1995
Summary: We propose a new model for 3D representation and reconstruction. It is based on deformable superquadrics and on parametric \(B\)-splines. Our method for 3D deformation uses \(B\)-splines instead of the finite element method. This new model takes advantages of \(B\)-splines local properties.
Neveu, Marc   +2 more
openaire   +2 more sources

Flash3D: Feed-Forward Generalisable 3D Scene Reconstruction from a Single Image

International Conference on 3D Vision
We propose Flash3D, a method for scene reconstruction and novel view synthesis from a single image which is both very generalisable and efficient. For generalisability, we start from a 'foundation' model for monocular depth estimation and extend it to a ...
Stanislaw Szymanowicz   +6 more
semanticscholar   +1 more source

3D Shape Reconstruction

2014
This chapter describes three different techniques for vision-based reconstruction of 3D shapes. The use of structured lighting is a relatively simple but accurate method. Stereo vision might be called the 3D shape-reconstruction method in computer vision; its actual stereo-matching challenges are a subject in the following chapter; here we only discuss
openaire   +1 more source

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