Related Experiment Video

Updated: May 9, 2026

Four-Dimensional CT Analysis Using Sequential 3D-3D Registration
05:05

Four-Dimensional CT Analysis Using Sequential 3D-3D Registration

Published on: November 23, 2019

Vectorial total variation-based regularization for variational image registration

Noppadol Chumchob

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |July 30, 2013
    PubMed

    More Related Videos

    Multimodal Cross-Device and Marker-Free Co-Registration of Preclinical Imaging Modalities07:13

    Multimodal Cross-Device and Marker-Free Co-Registration of Preclinical Imaging Modalities

    Published on: October 27, 2023

    Related Concept Videos

    Vector Algebra: Method of Components01:08

    Vector Algebra: Method of Components

    It is cumbersome to find the magnitudes of vectors using the parallelogram rule or using the graphical method to perform mathematical operations like addition, subtraction, and multiplication. There are two ways to circumvent this algebraic complexity. One way is to draw the vectors to scale, as in navigation, and read approximate vector lengths and angles (directions) from the graphs. The other way is to use the method of components.
    In many applications, the magnitudes and directions of...
    Vector Transformation in Rotating Coordinate Systems01:16

    Vector Transformation in Rotating Coordinate Systems

    Consider a vector rotating about an axis with an angular velocity, such that its tip sweeps a circular path.
    Curvilinear Motion: Rectangular Components01:23

    Curvilinear Motion: Rectangular Components

    Curvilinear motion characterizes the movement of a particle or object along a curved path, notably evident when envisioning a car navigating a winding road. If the car starts at point A, its position vector is established within a fixed frame of reference, where the ratio of the position vector to its magnitude signifies the unit vector pointing in the position vector's direction.
    As the car advances, its position evolves over time. Quantifying the car's velocity involves computing the time...
    Linearization and Approximation01:26

    Linearization and Approximation

    Linearization is a mathematical technique used to approximate complex, nonlinear functions with simpler linear models in the vicinity of a chosen reference point. The method is based on the idea that, although a function may be difficult to evaluate exactly, its behavior near a specific input value can often be closely approximated by the tangent line at that point. This approach is particularly useful when small deviations from a known value are involved.Consider the square root function, for...
    Residuals and Least-Squares Property01:11

    Residuals and Least-Squares Property

    The vertical distance between the actual value of y and the estimated value of y. In other words, it measures the vertical distance between the actual data point and the predicted point on the line
    If the observed data point lies above the line, the residual is positive, and the line underestimates the actual data value for y. If the observed data point lies below the line, the residual is negative, and the line overestimates the actual data value for y.
    The process of fitting the best-fit...
    Vector Components in the Cartesian Coordinate System01:29

    Vector Components in the Cartesian Coordinate System

    Vectors are usually described in terms of their components in a coordinate system. Even in everyday life, we naturally invoke the concept of orthogonal projections in a rectangular coordinate system. For example, if someone gives you directions for a particular location, you will be told to go a few km in a direction like east, west, north, or south, along with the angle in which you are supposed to move. In a rectangular (Cartesian) xy-coordinate system in a plane, a point in a plane is...