This work presents a volumetric approach to reconstruct and characterize threedimensional (3D) models of external anatomical structures from two-dimensional (2D) images. Volumetric methods represent the final volume using a finite set of 3D geometric primitives, usually designed as voxels. Thus, from an image sequence acquired around the object to reconstruct, the images are calibrated and the ...

Imaging techniques for the eye include fundus camera, OCT etc of which the most widely used and economical one is the use of fundus camera. Images obtained from this camera are 2D in nature. Analysis of 2D data requires a lot of expertize. This makes it necessary for a 3D reconstruction of the 2D fundus image which would help doctors in their analysis and treatment plan. 3D retinal image would ...

In this paper we present an approach for capturing 3D body motion and inferring human body posture from detected silhouettes. We show that the integration of two or more silhouettes allows us to perform a 3D body reconstruction while each silhouette can be used for identifying human body postures. The 3D reconstruction is based on the representation of body parts using Generalized Cylinders pro...

This paper presents a new approach for 3D human walking modeling from monocular image sequences. An efficient feature point selection and tracking approach has been used to compute feature points' trajectories. Peaks and valleys of these trajectories are used to detect key frames—frames where both legs are in contact with the floor. These frames, together with prior knowledge of body kinematics...

This paper presents an ontology-driven 3D architectural reconstruction approach based on the survey with a 3D scanner. This solution is powerful in the field of civil engineering projects to save time during the cost process estimation. This time is saved using efficient scanning instruments and a fast reconstruction of a digital mock-up that can be used in specific software. The reconstruction...

This article presents a mathematical framework to simultaneously tackle the problems of 3D reconstruction, pose estimation and object classification, from a single 2D image. In sharp contrast with state of the art methods that rely primarily on 2D information and solve each of these three problems separately or iteratively, we propose a mathematical framework that incorporates prior “knowledge”...

Structured light stereoscopic imaging offers an efficient and affordable solution to 3D modeling of objects. The majority of structured light patterns that have been proposed either provide a limited resolution or are sensitive to the inherent texture on the surface of the object. This paper proposes an innovative imaging strategy that accomplishes 3D reconstruction of objects using a combinati...

Our goal is to obtain an eye gaze estimation and a face description based on attributes (e.g. glasses, beard or thick lips) from still images. An attribute-based face description reflects human vocabulary and is therefore adequate as face description. Head pose and eye gaze play an important role in human interaction and are a key element to extract interaction information from still images. Po...

No part of the economic community can now escape from the urgent issues related to global warming, carbon footprint and reducing energy consumption. Nevertheless, the construction sector is particularly under pressure. Indeed, it is one of the biggest consumers of energy. It also largely contributes to the massive use of some critical resources (such as energy, water, materials and space...) an...

To enable real-time, person-independent 3D registration from 2D video, we developed a 3D cascade regression approach in which facial landmarks remain invariant across pose over a range of approximately 60 degrees. From a single 2D image of a person’s face, a dense 3D shape is registered in real time for each frame. The algorithm utilizes a fast cascade regression framework trained on high-resol...