Fabio de Miranda's Library tagged → View Popular
Review of Visual Tracking
This report contains a review of visual tracking in monocular video sequences. For the purpose of this review, the majority of the visual trackers in the literature are divided into three tracking categories: discrete feature trackers, contour trackers, and region-based trackers. This categorization was performed based on the features used and the algorithms employed by the various visual trackers. The first class of trackers represents targets as discrete features (e.g. points, sets of points, lines) and performs data association using a distance metric that accommodates the particular feature.
Georg Klein's Youtube Videos (PTAM and SLAM reloc.)
Nice videos - parallel tracking and mapping (PTAM) and SLAM relocalisation.
Source code: Parallel Tracking and Mapping for Small AR Workspaces (PTAM)
This work has received a lot of attention at ISMAR 2007 and ECCV 2008. Worth checking
Zoran Zivkovic - Computer Vision software download
"Implements mixture of binary (logistic) PCAs where pixels are
modeled using Bernoulli distributions instead of Gaussian. The images
do not need to be aligned. The implementation calculates also the
posterior distribution of unknown discrete translations
Prof. Dr. Gabriele Peters - Publications (3D object perception and tracking)
Articles including "A View-Based Approach to Three-Dimensional
Object Perception" and "Theories of Three-Dimensional Object Perception
- A Survey"
Computational Studies of Human Motion: Part 1, Tracking and Motion Synthesis (David Forsyth, PDF)
Computational Studies of Human Motion: Part 1, Tracking and
Motion Synthesis reviews methods for kinematic tracking of the human
body in video.
SIFT
This is a MATLAB/C implementation of the SIFT detector and
descriptor. It is customizable and features a decomposition of the
algorithm in several reusable M and MEX files.
YouTube - Hacking Wiis for 3D tracking
Using two Nintendo Wii controllers we can do complete 3D tracking of infrared light sources in real time.
3D motion and structure estimation -- Visual navigation project - Jean-Yves Bouguet
We are developing techniques for estimating the full three
dimensional motion of a vehicle from a image sequence acquired with an
onboard video camera. The process is done without making any assumption
about neither the type of motion nor the shape of the
Chromaglyphs for Pose Determination - HP Labs 1996
Colored fiducial markers that can be useful in tracking and camera pose determination
YouTube - Handheld Projector Demo
Imagine having a projector inside your cell phone or PDA, what
can you do with it? Researchers from University of Toronto made a demo.
YouTube - Multi-User Handheld Projector Demo
Following up their previous work, the University of Toronto
and Mitsubishi researchers further explored how multiple handheld
projectors can be used together to support interaction between people.
Vincent Lepetit Homepage: Computer Vision and Augmented Reality
Links to lots of useful papers
gpo - Google Code - The Google pose optimizer (GPO)
The Google pose optimizer (GPO) is a C++ library that allows
reconstruction of the pose of a sensor platform (i.e. its position and
orientation over time) based on information from sensors such as GPS,
accelerometers and rate gyroscopes. GPO does not prov
SIFT++
A lightweight C++ implementation of SIFT
SIFT++ is a lightweight C++ implementation of SIFT detector and
descriptor (it is derived directly from the MATLAB/C implementation).
SIFT on GPU (siftgpu)
SiftGPU is an implementation of SIFT [1] for GPU. It does pyramid construction, keypoint detection and descriptor
generation on GPU. Not only does SiftGPU process pixels/features paralelly with GPU, this implementation also
reduces readback time by ge
GPU_KLT: GPU-based implementation of Kanade-Lucas-Tomasi Feature Tracker
GPU_KLT is a C++ implementation using OpenGL/Cg, of the
popular KLT feature tracker which runs primarily on the graphics
processing unit (GPU). The GPU implementation emulates the
implementation by Birchfield[1] of the KLT algorithm proposed by Lucas
and
BlenderDev/ReconstructionAndMotionTracking - BlenderWiki
One of the areas identified as missing from Blender (see
Competitive Analysis) is that of motion tracking, i.e. replicating the
motion of a camera in space given a video sequence. This project aims
to solve that problem, and some others along the way. For
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