Jove
Visualize
お問い合わせ
JoVE
x logofacebook logolinkedin logoyoutube logo
JoVEについて
概要リーダーシップブログJoVEヘルプセンター
著者向け
出版プロセス編集委員会範囲と方針査読よくある質問投稿
図書館員向け
推薦の声購読アクセスリソース図書館諮問委員会よくある質問
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experimentsアーカイブ
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教員リソースセンター教員サイト
利用規約
プライバシーポリシー
ポリシー

関連する概念動画

Frames: Problem Solving II01:26

Frames: Problem Solving II

457
Consider a hydraulic hoist supporting a load of 1 kN. Assuming a simplified schematic representation of this frame structure, the force acting on BD and BF members can be determined.
457
Absolute Motion Analysis- General Plane Motion01:24

Absolute Motion Analysis- General Plane Motion

507
Visualize a drone, with its propellers spinning rapidly, hovering mid-air. The fascinating movements and operations of this drone can be comprehended by applying the principle of general plane motion.
As the drone's propellers rotate, an upward force is generated that counteracts the force of gravity, enabling the drone to lift off from the ground. This initial movement of the drone is along a straight path, representing a form of translational motion. In this phase, every point on the...
507
Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

858
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...
858
Frames: Problem Solving I01:24

Frames: Problem Solving I

915
Consider a jib crane with an external load suspended from the pulley. The dimensions of the crane members are shown in the figure. A systematic analysis of the frame structure is required to determine the reaction forces at the pin joints, assuming that the pulleys are frictionless.
915
Reconstruction of Signal using Interpolation01:10

Reconstruction of Signal using Interpolation

661
Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next...
661
Inertial Frames of Reference01:03

Inertial Frames of Reference

8.6K
Newton’s first law is usually considered to be a statement about reference frames. It provides a method for identifying a special type of reference frame: the inertial reference frame. In principle, we can make the net force on a body zero. If its velocity relative to a given frame is constant, then that frame is said to be inertial. So, by definition, an inertial reference frame is a reference frame where Newton's first law holds valid. Newton's first law applies to objects with...
8.6K

こちらも読む

関連記事

共著者、ジャーナル、引用グラフによってこの研究に関連する記事。

並び替え
Same author

Controlled dynamization to enhance reconstruction capacity of tissue-engineered bone in healing critically sized bone defects: an in vivo study in goats.

Tissue engineering. Part A·2009
Same author

Three epigenetic drugs up-regulate homeobox gene Rhox5 in cancer cells through overlapping and distinct molecular mechanisms.

Molecular pharmacology·2009
Same author

Spontaneous formation of nanostructures in graphene.

Nano letters·2009
Same author

Methods of the International Tobacco Control (ITC) China Survey.

Tobacco control·2009
Same author

An improved reverse transcription loop-mediated isothermal amplification assay for sensitive and specific detection of Newcastle disease virus.

Archives of virology·2009
Same author

[Correlations of TGF-betaRII, Smad4 and Smad7 expression to clinicopathologic characteristics and prognosis of gastric cancer].

Ai zheng = Aizheng = Chinese journal of cancer·2009

関連する実験動画

Updated: Jan 8, 2026

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
11:34

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

Published on: December 3, 2013

16.0K

積分画像ビデオ向けトリプルI-3Dネットによる中間フレーム予測

Qiang Li, Yunhao Bai, Wanyun Li

    Optics express
    |December 19, 2025
    PubMed
    まとめ
    この要約は機械生成です。

    本研究では、積分画像（II）の中間フレーム予測のための新しい手法であるTriple I-3D Netを紹介します。このアプローチは、高フレームレート要素画像配列（EIA）生成を可能にすることで、3Dディスプレイのパフォーマンスを向上させます。

    キーワード:
    積分画像中間フレーム予測3Dディスプレイ要素画像配列高フレームレート

    さらに関連する動画

    Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images
    14:08

    Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images

    Published on: April 13, 2013

    43.4K
    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

    8.4K

    関連する実験動画

    Last Updated: Jan 8, 2026

    High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
    11:34

    High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

    Published on: December 3, 2013

    16.0K
    Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images
    14:08

    Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images

    Published on: April 13, 2013

    43.4K
    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

    8.4K

    科学分野:

    • 光学およびフォトニクス;コンピュータビジョンおよび画像処理

    背景:

    • 積分画像（II）は、輻輳・調節競合なしに完全なパララックス3Dディスプレイを提供します。3Dビデオ用の高フレームレート要素画像配列（EIA）の生成は、大きな課題です。

    研究 の 目的:

    • 積分画像のための新しい中間フレーム予測方法を提案すること。効率的なEIAシーケンス合成を通じて3Dディスプレイの動的パフォーマンスを向上させること。

    主な方法:

    • 適応的受容野とピクセル推定用パッチを備えたトリプルI-3Dネットを開発しました。モーション推定とピクセル合成を統一された損失関数に統合しました。光学システムを変更せずに高フレームレートシーケンス生成のために固有のEIA特性を利用しました。

    主要な成果:

    • トリプルI-3Dネットは、客観的および知覚的品質メトリクスにおいて既存の手法を大幅に上回りました。PSNRで最大12.2％、SSIMで最大37.8％、LPIPSで最大95％の改善を達成しました。メトリクス全体のサンプル分散を最大93.5％削減し、フレームの安定性を確認しました。

    結論:

    • 提案された方法は、積分画像のための正確なフレーム補間を可能にします。トリプルI-3Dネットは、3D積分画像ディスプレイの動的パフォーマンスを効果的に向上させます。