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Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.
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Methods of Obtaining Topography01:25

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Topography involves measuring and mapping land elevations, natural features, and artificial structures to create accurate representations of the terrain. Topographic surveying relies on traditional and modern methods, each with distinct advantages and limitations.Traditional Surveying Methods:Transit stadia surveys and plane table surveys were widely used traditional surveying methods. These techniques relied on instruments like theodolites and stadia rods for measuring distances and angles,...
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Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

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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.
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A three-dimensional force system refers to a scenario in which three forces act simultaneously in three different directions. This type of problem is commonly encountered in physics and engineering, where it is necessary to calculate the resultant force on the system, which can then be used to predict or analyze the behavior of the object or structure under consideration.
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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.
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Spherical Coordinates01:23

Spherical Coordinates

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Spherical coordinate systems are preferred over Cartesian, polar, or cylindrical coordinates for systems with spherical symmetry. For example, to describe the surface of a sphere, Cartesian coordinates require all three coordinates. On the other hand, the spherical coordinate system requires only one parameter: the sphere's radius. As a result, the complicated mathematical calculations become simple. Spherical coordinates are used in science and engineering applications like electric and...
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HoloDreamer: Generación holística de escenas panorámicas 3D a partir de descripciones de texto

Haiyang Zhou, Xinhua Cheng, Wangbo Yu

    IEEE transactions on visualization and computer graphics
    |December 25, 2025
    PubMed
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    HoloDreamer genera escenas 3D completas a partir de texto creando primero un panorama completo y luego utilizando la proyección de Gaussianas 3D para la reconstrucción. Este método garantiza la generación de escenas 3D completas, de alta calidad y consistentes.

    Palabras clave:
    generación de escenas 3Dpanoramasproyección de Gaussianas 3Dvisión por computadoragráficos por computadorainteligencia artificial

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    Área de la Ciencia:

    • Visión por Computadora
    • Gráficos por Computadora
    • Inteligencia Artificial

    Sus antecedentes:

    • La generación de escenas 3D impulsada por texto está avanzando rápidamente debido a los modelos de difusión de texto a imagen.
    • Los métodos actuales basados en outpainting luchan con la consistencia global y la completitud en las escenas 3D generadas.

    Objetivo del estudio:

    • Presentar HoloDreamer, un marco novedoso para generar escenas 3D completas y consistentes en cuanto a la vista a partir de indicaciones de texto.
    • Superar las limitaciones de los métodos existentes en consistencia global y completitud.

    Principales métodos:

    • HoloDreamer inicializa las escenas con un panorama de alta definición generado utilizando un pipeline que combina múltiples modelos de difusión para una salida estilizada.
    • Aprovecha la proyección de Gaussianas 3D (3D-GS) para una reconstrucción rápida de escenas 3D.
    • Una reconstrucción de panorama mejorada en dos etapas optimiza 3D-GS para retocar regiones faltantes y mejorar la integridad de la escena.

    Principales resultados:

    • El método propuesto genera panoramas equirectangulares estilizados y detallados a partir de indicaciones de texto complejas.
    • HoloDreamer logra una calidad superior de consistencia visual, armonía y reconstrucción en comparación con trabajos anteriores.
    • El marco produce de manera efectiva escenas 3D completamente cerradas con una robustez de renderizado mejorada.

    Conclusiones:

    • HoloDreamer ofrece una solución robusta para la generación de escenas 3D impulsada por texto, abordando desafíos clave en consistencia y completitud.
    • El marco facilita la creación de escenas 3D completas y de alta calidad adecuadas para aplicaciones en RV, juegos y cine.