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Related Concept Videos

Plastic Deformations01:19

Plastic Deformations

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Plastic deformation represents a fundamental concept in materials science, which explains the irreversible change in the shape of a material when it experiences stress beyond its elastic capability. This phenomenon is important in structural engineering, especially in designing and analyzing cantilever beams—structures that are securely fixed at one end and bear loads at the opposite end. When these beams are subjected to loads within their elastic range, they will return to their...
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Plastic Deformations01:14

Plastic Deformations

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It is essential to understand how structural members behave under plastic deformation when the bending stress exceeds the material's yield strength. This state of deformation permanently alters the shape of the member, in contrast to the linear elastic behavior observed before yielding. The strain at any point in the member is expressed in terms of maximum strain. Notably, the neutral axis, which coincides with the centroid during elastic bending, shifts away from the centroid under plastic...
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Temperature Dependent Deformation01:12

Temperature Dependent Deformation

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In a nonhomogeneous rod made up of steel and brass, restrained at both ends and subjected to a temperature change, several steps are involved in calculating the stress and compressive load. Due to the problem's static indeterminacy, one end support is disconnected, allowing the rod to experience the temperature change freely. Next, an unknown force is applied at the free end, triggering deformations in the rod's steel and brass portions. These deformations are then calculated and added...
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Deformations in a Symmetric Member in Bending01:18

Deformations in a Symmetric Member in Bending

521
When analyzing the deformation of a symmetric prismatic member subjected to bending by equal and opposite couples, it becomes clear that as the member bends, the originally straight lines on its wider faces curve into circular arcs, with a constant radius centered at a point known as Point C. This phenomenon helps to understand the stress and strain distribution within the member more clearly.
When the member is segmented into tiny cubic elements, it is observed that the primary stress...
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Deformation of Member under Multiple Loadings01:11

Deformation of Member under Multiple Loadings

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When a rod is made of different materials or has various cross-sections, it must be divided into parts that meet the necessary conditions for determining the deformation. These parts are each characterized by their internal force, cross-sectional area, length, and modulus of elasticity. These parameters are then used to compute the deformation of the entire rod.
In the case of a member with a variable cross-section, the strain is not constant but depends on the position. The deformation of an...
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Deformation in a Circular Shaft01:10

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One of the distinctive characteristics of circular shafts is their ability to maintain their cross-sectional integrity under torsion. In other words, each cross-section continues to exist as a flat, unaltered entity, simply rotating like a solid, rigid slab. To understand the distribution of shearing stress within such a shaft, consider a cylindrical section inside this circular shaft. This section has a length of L and a radius of R, with one end fixed. The radius of the cylindrical section is...
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PD2T: Person-Specific Detection, Deformable Tracking.

Grigorios G Chrysos, Stefanos Zafeiriou

    IEEE Transactions on Pattern Analysis and Machine Intelligence
    |July 11, 2018
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    Summary
    This summary is machine-generated.

    This study introduces PD²T, a novel pipeline for person-specific face detection and landmark localization in videos. By learning individual statistics from sequential frames, PD²T significantly improves upon generic methods for dynamic scenes.

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    Area of Science:

    • Computer Vision
    • Machine Learning
    • Biometrics

    Background:

    • Current face detection and alignment methods excel in static images but are suboptimal for dynamic, real-world video scenarios.
    • Frame-by-frame analysis discards valuable temporal correlations present in sequential video data.
    • There is a need for methods that leverage video's inherent sequential nature for improved accuracy.

    Purpose of the Study:

    • To propose a novel pipeline, PD²T (Person-specific Detection and Landmark Localisation), that learns person-specific statistics from video.
    • To improve upon generic, frame-based face detection and alignment by incorporating temporal information.
    • To demonstrate the effectiveness of the proposed pipeline across diverse objects and generic fitting results.

    Main Methods:

    • Development of a meticulously studied pipeline named PD²T.
    • Learning person-specific statistics from sequential video frames.
    • Jointly performing person-specific detection and landmark localization.

    Main Results:

    • Extensive experimentation was conducted using diverse generic fitting results and various objects (human and animal faces).
    • The PD²T pipeline demonstrated superior performance compared to all other evaluated methods.
    • The learned person-specific statistics effectively enhance detection and localization accuracy in dynamic scenes.

    Conclusions:

    • Generic frame-fitting approaches are suboptimal for dynamic scenes due to the loss of temporal information.
    • The proposed PD²T pipeline effectively utilizes person-specific statistics learned from video sequences.
    • PD²T offers a significant advancement in person-specific detection and landmark localization for real-world video analysis.