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Andrew Davison research page at the Department of Computing, Imperial College London about SLAM using vision. openslam.org A good collection of open source code and explanations of SLAM. Matlab Toolbox of Kalman Filtering applied to Simultaneous Localization and Mapping Vehicle moving in 1D, 2D and 3D.
Laboratory Virtual Instrument Engineering Workbench (LabVIEW) [1]: 3 is a graphical system design and development platform produced and distributed by National Instruments, based on a programming environment that uses a visual programming language.
Motion analysis is used in computer vision, image processing, high-speed photography and machine vision that studies methods and applications in which two or more consecutive images from an image sequences, e.g., produced by a video camera or high-speed camera, are processed to produce information based on the apparent motion in the images.
In computer vision, the fundamental matrix is a 3×3 matrix which relates corresponding points in stereo images.In epipolar geometry, with homogeneous image coordinates, x and x′, of corresponding points in a stereo image pair, Fx describes a line (an epipolar line) on which the corresponding point x′ on the other image must lie.
Controlled active vision can be defined as a controlled motion of a vision sensor can maximize the performance of any robotic algorithm that involves a moving vision sensor. It is a hybrid of control theory and conventional vision. An application of this framework is real-time robotic servoing around static or moving arbitrary 3-D objects.
In computer vision and image processing, motion estimation is the process of determining motion vectors that describe the transformation from one 2D image to another; usually from adjacent frames in a video sequence. It is an ill-posed problem as the motion happens in three dimensions (3D) but the images are a projection of the 3D scene onto a ...
Structure from motion (SfM) [1] is a photogrammetric range imaging technique for estimating three-dimensional structures from two-dimensional image sequences that may be coupled with local motion signals. It is studied in the fields of computer vision and visual perception.
Egomotion is defined as the 3D motion of a camera within an environment. [16] In the field of computer vision, egomotion refers to estimating a camera's motion relative to a rigid scene. [17] An example of egomotion estimation would be estimating a car's moving position relative to lines on the road or street signs being observed from the car ...