Presented here in the form of case study examples are the results from a number of practical exercises to explore the state of the art of automatic 3D reconstructions. That is, deriving the underlying geometry of an object or place based only upon photographs. There is a wide range of applications for this technology; traditionally it has been used for landscape/terrain modeling, geology and by...

3D reconstruction and modeling techniques based on computer vision show a significant improvement in recent decades. Despite the great variety, a majority of these techniques depend on specific photographic collections or video footage. For example, most are designed for large data collections, overlapping photos, captures from turntables or photos with lots of detectable features such as edges...

The key contribution of this paper is a novel submapping technique for RGB-D-based bundle adjustment. Our approach significantly speeds up 3D object reconstruction with respect to full bundle adjustment while generating visually compelling 3D models of high metric accuracy. While submapping has been explored previously for mono and stereo cameras, we are the first to transfer and adapt this con...

We consider reconstruction algorithms using points tracked over a sequence of (at least three) images, to estimate the positions of the cameras (motion parameters), the 3D coordinates (structure parameters), and the calibration matrix of the cameras (calibration parameters). Many algorithms have been reported in literature, and there is a need to know how well they may perform. We show how the ...

Abstract 3D reconstruction is one of the main components in computer vision. The dynamic stereo model applied to rotating objects on a turntable provides a way of analyzing object’s surface or 3D position. In this paper, we extend work reported in [5]: we correct an error in computing the rotational angle; and we present a new procedure for 3D object reconstruction with unknown rotation angle b...

In camera pre-calibration, images of a calibration object are commonly used to determine the internal geometry of a camera. The calibration imaging is often optimized to have the calibration object cover as large image area as possible. This is likely to yield a larger concentration of measured image points near the center of the image sensor. In this report, the hypothesis is investigated that...

Template-based methods have been successfully used for surface detection and 3D reconstruction from a 2D input image, especially when the surface is known to deform isometrically. However, almost all such methods require that keypoint correspondences be first matched between the template and the input image. Matching thus exists as a current limitation because existing methods are either slow o...

We report on a stereo system for 3D detection and tracking of pedestrians in urban traffic scenes. The system is built around a probabilistic environment model which fuses evidence from dense 3D reconstruction and image-based pedestrian detection into a consistent interpretation of the observed scene, and a multi-hypothesis tracker to reconstruct the pedestrians’ trajectories in 3D coordinates ...

This paper presents a method for 3D face modeling from a set of 2D images. This method is based on deformation of a pre-defined generic polygonal face mesh to the specific face of the person, presented on several images taken from different views. This deformation is based upon matching points and silhouette curves. To provide high accuracy we have chosen an interactive way of getting informati...