We propose a reduced algebraic cost based on pairwise epipolar constraints for the iterative refinement of a multiple view 3D reconstruction. The aim is to accelerate the intermedi...
Recent work in structure from motion (SfM) has successfully built 3D models from large unstructured collections of images downloaded from the Internet. Most approaches use increme...
David Crandall, Andrew Owens, Noah Snavely, Daniel...
— In this paper we address the problem of visual motion estimation (visual odometry) from a single vehicle mounted camera. One of the basic issues of visual odometry is relative ...
Friedrich Fraundorfer, Davide Scaramuzza, Marc Pol...
Abstract. Bundle adjustment for multi-view reconstruction is traditionally done using the Levenberg-Marquardt algorithm with a direct linear solver, which is computationally very e...
Bundle adjustment is one of the cornerstone to recover the scene structure from a sequence of images. The main drawback of this technique, due to nonlinear optimisation, is the ne...
:We present a comparison of an extended Kalman lter and an adaptation of bundle adjustment from computer vision for mobile robot localization and mapping using a bearing-only senso...
Abstract. We present the design and implementation of a new inexact Newton type algorithm for solving large-scale bundle adjustment problems with tens of thousands of images. We ex...
This paper is a survey of the theory and methods of photogrammetric bundle adjustment, aimed at potential implementors in the computer vision community. Bundle adjustment is the p...
Bill Triggs, Philip F. McLauchlan, Richard I. Hart...
In January 2004 the High Resolution Stereo Camera (HRSC) on board the ESA mission Mars Express started imaging the surface of planet Mars in colour and stereoscopically in high res...
Christian Heipke, Heinrich Ebner, Ralph Schmidt, M...
— This paper introduces an incremental method for “Structure From Motion” of complex scenes from a video sequence. More precisely, we estimate the 3D positions of the viewed ...
E. Mouragnon, Maxime Lhuillier, Michel Dhome, Fabi...