This paper introduces a 3D imaging framework that combines high-resolution photometric
stereo and low-resolution depth. Our approach targets imaging scenarios based on either …

We propose a binocular stereo method which is optimized for reconstructing surface detail
and exploits the high image resolutions of current digital cameras. Our method occupies a …

This paper presents a hybrid approach for 3D reconstruction by fusing photometric stereo
and multi-view stereo. The 3D surface is obtained by capturing a set of images taken from …

Through the fusion of light fields and photometric stereo, two state-of-the-art computational
imaging approaches, we improve the 3D reconstruction of objects. Light field imaging …

In this contribution we describe an image-based framework for 3D surface reconstruction by
a combined analysis of reflectance, polarisation, and sparse depth data. An error functional …

Background Reconstructing 3D geometry from images (often referred to as 3D photography
or image-based 3D modeling) involves using cameras or optical sensors (and optionally …

Photometric Stereo is a powerful image based 3D reconstruction technique that has recently
been used to obtain very high quality reconstructions. However, in its classic form …

Abstract We present a Multi View Stereo approach for huge unstructured image datasets that
can deal with large variations in surface sampling rate of single images. Our method …

Photometric Stereo can recover dense (at pixel-level) local surface orientation, but the
subsequent reconstruction procedures used to obtain 3D shape of the scene are prone to …

In recent years, great progress has been made on the problem of 3D scene reconstruction
using depth sensors. On a large scale, these reconstructions look impressive, but often …