Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame.
However, to express the relative position of point B relative to point A, an additional frame of reference, denoted as x'y', is necessary. This additional frame not only translates but also rotates relative to the fixed frame, making it instrumental in...
Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

Consider a crane whose telescopic boom rotates with an angular velocity of 0.04 rad/s and angular acceleration of 0.02 rad/s2. Along with the rotation, the boom also extends linearly with a uniform speed of 5 m/s. The extension of the boom is measured at point D, which is measured with respect to the fixed point C on the other end of the boom. For the given instant, the distance between points C and D is 60 meters.
Here, in order to determine the magnitude of velocity and acceleration for point...
Rotation of Asymmetric Top01:11

Rotation of Asymmetric Top

By definition, a spherically symmetric body has the same moment of inertia about any axis passing through its center of mass. This situation changes if there is no spherical symmetry. Since most rigid bodies are not spherically symmetric, these require special treatment.
The relationship between the angular momentum of any rigid body and its angular velocity, both of which are vectors, involves the moment of inertia. The moment of inertia is a scalar quantity only for spherically symmetric...
Relative Motion Analysis using Rotating Axes - Acceleration01:22

Relative Motion Analysis using Rotating Axes - Acceleration

Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame. The absolute velocity of point B is determined by adding the absolute velocity of point A, the relative velocity of point B in the rotating frame, and the effects caused by the angular velocity within the rotating frame.
Time differentiation is...
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...
Rotational Motion about a Fixed Axis01:26

Rotational Motion about a Fixed Axis

A rigid body's rotation around a fixed axis makes every point within it trace a circular path around a specific line or point. The term given to this type of spinning is defined by the angular position, symbolized by the angle θ. This angle is gauged from a static reference line to the revolving object. From this angular position, any variation is referred to as angular displacement, denoted by dθ. The extent of this displacement can be calculated in degrees, radians, or revolutions, where one...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Enterococcus faecalis NBRC 100481 Protects the Intestinal Barrier via α-catenin/HMP-1 in Caenorhabditis elegans.

Probiotics and antimicrobial proteins·2026
Same author

Solvation-Mediated Assembly for Large-Scale Synthesis of Covalent Organic Framework Membranes.

Angewandte Chemie (International ed. in English)·2026
Same author

Posttranscriptional regulation of PD-1 by PRMT5/WDR77 complex shapes T cell effector function and antitumor immunity.

The Journal of clinical investigation·2026
Same author

Violet Arsenic Phosphorus: Switching p-Type into High Performance n-Type Semiconductor by Arsenic Substitution.

Nano-micro letters·2026
Same author

Postoperative CT and Functional Analysis of New Larynx in Different Supracricoid Partial Laryngectomy Procedures.

Laryngoscope investigative otolaryngology·2025
Same author

Causal Effects of Plasma Metabolites on Leukemia: A Mendelian Randomization Study.

Metabolites·2025

Related Experiment Videos

High-performance rotation invariant multiview face detection.

Chang Huang1, Haizhou Ai, Yuan Li

  • 1Department of Computer Science and Technology, Tsinghua University, Bejing, China. huangc99@mails.tsinghua.edu.cn

IEEE Transactions on Pattern Analysis and Machine Intelligence
|February 15, 2007
PubMed
Summary

This study introduces a novel rotation-invariant multiview face detection (MVFD) system. The proposed methods enable accurate face detection across various angles, crucial for real-world applications.

Related Experiment Videos

Area of Science:

  • Computer Vision
  • Machine Learning
  • Pattern Recognition

Background:

  • Automatic face processing requires robust face detection, especially for non-cooperative subjects.
  • Existing methods struggle with faces at arbitrary in-plane and off-plane rotations.
  • Multiview face detection (MVFD) is essential for general-purpose face analysis.

Purpose of the Study:

  • To develop a high-performance rotation-invariant multiview face detector.
  • To address the challenge of detecting faces with arbitrary rotation angles.
  • To improve the accuracy and scope of face detection in unconstrained environments.

Main Methods:

  • Proposed a Width-First-Search (WFS) tree detector structure.
  • Introduced the Vector Boosting algorithm for learning vector-output strong classifiers.
  • Utilized domain-partition-based weak learning, sparse features in granular space, and heuristic sparse feature selection.

Main Results:

  • Achieved low computational complexity.
  • Demonstrated a broad detection scope.
  • Obtained high detection accuracy on standard datasets and real-life images.

Conclusions:

  • The developed MVFD system effectively handles rotation variations.
  • The innovative methods contribute to more accurate and efficient face detection.
  • The system is suitable for real-world face processing applications.