Abstract—Image reconstruction is an active research field, due to the increasing need for geometric 3D models in movie industry, games, virtual environments and in medical fields. 3D image reconstruction aims to arrive at the 3D model of an object, from its 2D images taken at different viewing angles. Medical images are multimodal, which includes MRI, CT scan image, PET and SPECT images. Of the...

A wide-spread use of 3D models in cultural heritage application requires low cost equipment and simple modeling procedures. In this context, passive 3D reconstruction methods allow to build 3D models from a set of calibrated cameras, without the need of expensive machinery. Unfortunately the surfaces characteristics often lead to bad quality reconstructions. Recent efforts attempt to combine to...

3D scene reconstruction resulting from a limited number of stereo pairs captured by a 3D camera is a nontrivial and challenging task even for current state-of-the-art multi-view stereo (MVS) reconstruction algorithms. It also has many application potentials in related techniques, such as robotics, virtual reality, video games, and 3D animation. In this paper, we analyze the performance of the P...

This paper presents and develops an integrated system for 3D object reconstruction and recognition, which contains three key functional subsystems: superquadric based structural description extraction, multipart object reconstruction and 3D object recognition. These three subsystems are relatively independent and also connected each other, which accomplish the conversion from 3D object data to ...

An algorithm for the image dependent control of the camera viewpoint is presented, which is applied to the automatic reconstruction of 3D objects. For computer animation applications, ”shape from silhouettes” using equally distributed viewpoints is an often used reconstruction technique. With respect to the local reconstruction errors, the use of equally distributed camera views is unfavourable...

The problem human face shape reconstruction basing on information about human skull is very important for many applications beginning with archeology and finishing with crime expertise. World recognition was received with a face shape reconstruction technique proposed by M. Gerasimov [1]. This method up to now is the general method for face reconstruction of unknown person. It operates with the...

We propose a novel foreground object segmentation algorithm for a silhouette-based 3D reconstruction system. Our system requires several multi-view images as input to reconstruct a complete 3D model. The proposed foreground segmentation algorithm is based on graph-cut optimization with the energy function developed for planar background assumption. We parallelize parts of our program with GPU p...

This letter underpins the use of three-dimensional computed tomography (3D-CT) reconstruction as an aid to teach veterinary anatomy. Cases were presented to students in order to observe normal and clinically abnormal patients. The images provided excellent details of relevant structures and could serve as a tool for teaching anatomy. Many sources describe different options to enhance anatomical...

The technology of 3D reconstruction based on image sequences is an important technology in computer vision field, its application in close range photogrammetry area brings a new research area. For the application of 3D reconstruction in close range photogrammetry field, precision problems must be fully demonstrated. In this paper, error propagation rules in 3D reconstruction process has deduced...

BACKGROUND & OBJECTIVES With improvement in the early diagnosis of breast cancer, breast conserving therapy (BCT) is being increasingly used. Precise preoperative evaluation of the incision margin is, therefore, very important. Utilizing three dimentional (3D) images in a preoperative evaluation for breast conserving surgery has considerable significance, but the currently 3D CT scan reconstruc...