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...

3D visualization for Content-Based Images Retrieval (CBIR) eases integration of searching and browsing images in a large image database. While many researchers proposed visualization system for CBIR, most approaches display images based on a fixed set of image features. However, not all features are always equally important for users. Moreover, in most systems, all images in the database are di...

Axially distributed image sensing (ADS) technique is capable of capturing 3D objects and reconstructing high-resolution slice plane images for 3D objects. In this paper, we propose a computational method for depth extraction of 3D objects using ADS. In the proposed method, the high-resolution elemental images are recorded by simply moving the camera along the optical axis and the recorded eleme...

This paper proposes an automatic method for registering images from different sensors, particularly 2D optical sensors and 3D range sensors, without any assumption about initial alignment. Many existing methods try to reconstruct 3D points from 2D image sequences, and then match 3D primitives from both sides. The availability of appropriate multiple images associated with 3D range data, the wel...

segmentation and three‑dimensional (3d) visualization of teeth in dental computerized tomography (ct) images are of dentists’ requirements for both abnormalities diagnosis and the treatments such as dental implant and orthodontic planning. on the other hand, dental ct image segmentation is a difficult process because of the specific characteristics of the tooth’s structure. this paper presents ...

We contribute a large scale database for 3D object recognition, named ObjectNet3D, that consists of 100 categories, 90,127 images, 201,888 objects in these images and 44,147 3D shapes. Objects in the 2D images in our database are aligned with the 3D shapes, and the alignment provides both accurate 3D pose annotation and the closest 3D shape annotation for each 2D object. Consequently, our datab...

Introduction: 3D gradient echo (GRE) sequence is commonly used for T1-weighted MR imaging of liver. Conventional 3D GRE sequences utilize either one of centric-linear, radial or linear ordering of k-space with a fat suppression technique and partial scan technique along a slice direction. We introduce a enhanced 3D-GRE sequence, which adopted a linear ordering with half scan along both slice an...

We describe a computational method for depth extraction of three-dimensional (3D) objects using block matching for slice images in synthetic aperture integral imaging (SAII). SAII is capable of providing high-resolution 3D slice images for 3D objects because the picked-up elemental images are high-resolution ones. In the proposed method, the high-resolution elemental images are recorded by movi...