Fabio de Miranda's Library tagged sfm →  View Popular

The Voodoo Camera Tracker estimates camera parameters and reconstructs a 3D scene from image sequences. The estimation algorithm offers a full automatic and robust solution to estimate camera parameters for video sequences. The results are useful for many applications like film production, 3D reconstruction, or video coding. The estimated parameters can be exported to the 3D animation packages: 3D Studio Max, Blender, Lightwave, Maya, and Softimage.

The Voodoo Camera Tracker works very alike to commercial available camera trackers (also called match movers), e.g. 3D-Equalizer by Science-D-Visions, boujou by 2d3, Matchmover by RealViz , PFTrack by The Pixel Farm, SynthEyes by Andersson Technologies, or VooCAT by Scenespector Systems. Please consider buying a commercial product, if you need a camera tracker with professional support.

The estimation method consist of five processing steps:

1) Automatic detection of feature points
2) Automatic correspondence analysis
3) Outlier elimination
4) Robust incremental estimation of the camera parameters
5) Final refinement of the camera parameters

www.digilab.uni-hannover.de/...manual.html - Preview

3d computervision computerGraphics sfm

Apparently, this is the SfM code used in PhotoSynth.
Bundler is a structure-from-motion system for unordered image collections (for instance, images from the Internet). An earlier version of this system was used in the Photo Tourism project.
Bundler takes a set of images, image features, and image matches as input, and produces a 3D reconstruction of camera and (sparse) scene geometry as output. The system reconstructs the scene incrementally, a few images at a time, using a modified version of the Sparse Bundle Adjustment package of Lourakis and Argyros as the underlying optimization engine. Bundler has been successfully run on many Internet photo collections, as well as more structured collections.

phototour.cs.washington.edu/bundler - Preview

programming computerVision sfm

The programs below compute symmetric dense stereo matching with occlusions, and dense optical flow with occlusions.

ogale.abhijit.googlepages.com/code.html - Preview

computerVision sfm opticalFlow vision

I will focus more on graphical model representations of the
SLAM/SFM problem, as well a real-time and sensing aspects. Throughout
the course, each student will implement a real-time visual SLAM system
for augmented reality, if not with all bells and whist

web.me.com/...Overview.html - Preview

3d augmentedReality sfm StructureFromMotion computerVision

A method is presented to recover 3D scene structure and camera
motion from multiple images without the need for correspondence
information. The problem is framed as finding the maximum likelihood
structure and motion given only the 2D measurements, integr

www.ri.cmu.edu/pub_3292.html - Preview

roboticcs 3D mapping reconstruction sfm StructureFromMotion