関連する実験動画

Updated: Sep 10, 2025

Photorealistic Learned Landscapes for Augmented Reality
06:54

Photorealistic Learned Landscapes for Augmented Reality

Published on: June 27, 2025

160

完成 マンバ:ポイントクラウドの完成のためのステートスペースモデルを制御する

Zhiheng Fu, Jiehua Zhang, Longguang Wang

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
    |August 25, 2025
    PubMed
    まとめ

    CompletionMambaは,ステート・スペース・モデル (SSM) を使用して,長距離依存性を捉えるため,部分的なスキャンから3Dの形状を効果的に再構築します. この新しいアプローチは,より高い精度のために形状情報を統合することによって,点雲の完成を改善します.

    さらに関連する動画

    Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging09:19

    Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

    Published on: April 18, 2025

    801
    Trajectory Data Analyses for Pedestrian Space-time Activity Study16:14

    Trajectory Data Analyses for Pedestrian Space-time Activity Study

    Published on: February 25, 2013

    13.7K

    関連する概念動画

    State Space Representation01:27

    State Space Representation

    The frequency-domain technique, commonly used in analyzing and designing feedback control systems, is effective for linear, time-invariant systems. However, it falls short when dealing with nonlinear, time-varying, and multiple-input multiple-output systems. The time-domain or state-space approach addresses these limitations by utilizing state variables to construct simultaneous, first-order differential equations, known as state equations, for an nth-order system.
    Consider an RLC circuit, a...
    285
    State Space to Transfer Function01:21

    State Space to Transfer Function

    The conversion of state-space representation to a transfer function is a fundamental process in system analysis. It provides a method for transitioning from a time-domain description to a frequency-domain representation, which is crucial for simplifying the analysis and design of control systems.
    The transformation process begins with the state-space representation, characterized by the state equation and the output equation. These equations are typically represented as:
    302
    Linear Approximation in Time Domain01:21

    Linear Approximation in Time Domain

    Nonlinear systems often require sophisticated approaches for accurate modeling and analysis, with state-space representation being particularly effective. This method is especially useful for systems where variables and parameters vary with time or operating conditions, such as in a simple pendulum or a translational mechanical system with nonlinear springs.
    For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length,...
    124
    Transfer Function to State Space01:23

    Transfer Function to State Space

    State-space representation is a powerful tool for simulating physical systems on digital computers, necessitating the conversion of the transfer function into state-space form. Consider an nth-order linear differential equation with constant coefficients, like those encountered in an RLC circuit. The state variables are selected as the output and its n−1 derivatives. Differentiating these variables and substituting them back into the original equation produces the state equations.
    In an...
    403
    Turbulent Flow: Problem Solving01:09

    Turbulent Flow: Problem Solving

    Carbonation is a process used to dissolve carbon dioxide gas in a liquid, commonly used in the production of carbonated beverages. Achieving efficient carbonation requires careful control of temperature, pressure, and flow conditions. By adjusting these parameters, carbonation efficiency can be maximized, producing a higher concentration of CO2 in the liquid.
    Temperature is a key factor in CO2 solubility. In this case, the CO2 gas and the liquid are cooled to 20°C. Lower temperatures...
    184
    Normal and Tangetial Components: Problem Solving01:24

    Normal and Tangetial Components: Problem Solving

    Consider a man with a mass of 70 kg seated in a chair connected to a pin support through a member BC. If the man maintains an upright position, the task is to determine the horizontal and vertical reactions of the chair on the man when the member makes a 45° angle with the horizontal. At this moment, the man has a speed of 5 m/s, increasing at a rate of 1 m/s².
    223