Accurate three-dimensional (3D) color models play a crucial role in various emerging applications, such as geographic surveying and mapping, smart cities, and digital twin cities. To achieve high-fidelity representati...
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ISBN:
(纸本)9798350300673
Accurate three-dimensional (3D) color models play a crucial role in various emerging applications, such as geographic surveying and mapping, smart cities, and digital twin cities. To achieve high-fidelity representations of large-scale scenes, recent advancements in machine learning techniques and LiDAR-based Simultaneous Localization and Mapping (SLAM) have been instrumental. Leveraging these cutting-edge technologies, this paper presents a sensor-fusion framework that integrates a solid-state LiDAR, an inertial measurement unit (IMU), and a monocular camera. Additionally, a point cloud upsampling technique is introduced into LiDAR SLAM to enhance the density of the point clouds. Within this framework, the LiDAR-IMU odometry accurately estimates the positions and poses of the collected point clouds. Simultaneously, synchronized images are captured and utilized to incorporate texture information into the point clouds. The proposed framework demonstrates its capability to generate highly detailed and dense 3D color models for large-scale outdoor scenes, all within a limited on-site scanning time. Extensive experimental results validate the effectiveness and efficiency of the proposed approach.
This paper presents software synthesis techniques to deal with non-primitive data type from graphical dataflow programs based on the synchronous dataflow (SDF) model. Non-primitive data types, often used in multimedia...
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In this paper, we describe how geometrically correct and visually realistic shadows may be computed for objects composited into a single view of a target scene. Compared to traditional single view compositing methods,...
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In this paper, we describe how geometrically correct and visually realistic shadows may be computed for objects composited into a single view of a target scene. Compared to traditional single view compositing methods, which either do not deal with the shadow effects or manually create the shadows for the composited objects, our approach efficiently utilizes the geometric and photometric constraints extracted from a single target image to synthesize the shadows consistent with the overall target scene for the inserted objects. In particular, we explore (i) the constraints provided by imaged scene structure, e.g. vanishing points of orthogonal directions, for camera calibration and thus explicit determination of the locations of the camera and the light source;(ii) the relatively weaker geometric constraint, the planar homology, that models the imaged shadow relations when explicit camera calibration is not possible;and (iii) the photometric constraints that are required to match the color characteristics of the synthesized shadows with those of the original scene. For each constraint, we demonstrate the working examples followed by our observations. To show the accuracy and the applications of the proposed method, we present the results for a variety of target scenes, including footage from commercial Hollywood movies and 3D video games.
Current graphics models suffer from inconsistencies in many ways. Neither homotopical nor topological properties have been inherited in the shapes of graphical objects in particular, and usually continuity and singula...
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Current graphics models suffer from inconsistencies in many ways. Neither homotopical nor topological properties have been inherited in the shapes of graphical objects in particular, and usually continuity and singularity properties are not inherited either. For example, since the most of the shape modeling in computergraphics has polygonalization as the underlying display structures and data structures, the topological properties as well as the shape smoothness properties and singularities are almost always lost, which makes them unrecoverable. We present initial research on shape modeling for computergraphics to remedy this situation, based on a homotopical framework and cellular spatial structures.
In a high performance multiple-input multiple-output (MIMO) system, a soft output MIMO detector combined with a channel decoder is often used at the receiver to maximize performance gain. Graphic processor unit (GPU) ...
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It is argued that computergraphics can benefit from a deeper use of machine learning techniques. The author gives an overview of what learning has to offer the graphics community, with an emphasis on Bayesian techniq...
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It is argued that computergraphics can benefit from a deeper use of machine learning techniques. The author gives an overview of what learning has to offer the graphics community, with an emphasis on Bayesian techniques. He also attempts to address some misconceptions about learning, and to give a very brief tutorial on Bayesian reasoning.
Generating realistic 3D human face models and facial animations have been persistent challenges in computergraphics and computer animation field. We develop a system called EasyFace that constructs textured 3D face m...
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Collision detection between complex objects using rasterizing graphics hardware provides a rich ground of exploration for speeding up the interference detection algorithms and computing points of collision. We show th...
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Collision detection between complex objects using rasterizing graphics hardware provides a rich ground of exploration for speeding up the interference detection algorithms and computing points of collision. We show that despite the limitations imposed by the current graphics rendering hardware, it is still possible to perform collision detection at rendering rates using only conventional graphics hardware without any enhancements.
The authors present a technique for transforming a tetrahedral mesh into a progressive representation based on half edge collapses. This allows the efficient transmission of the mesh from a remote computer where the s...
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ISBN:
(纸本)0769512275
The authors present a technique for transforming a tetrahedral mesh into a progressive representation based on half edge collapses. This allows the efficient transmission of the mesh from a remote computer where the simulation was computed to a visualization computer. During the transmission, the user can start visualizing while the transmission is still in progress. We show a technique for progressively extracting isosurfaces from the progressive mesh. Starting with the base mesh, an isosurface for a specific value is computed and will locally be improved where a vertex is inserted into the mesh.
Object interactions are ubiquitous in interactive computergraphics, 3D object motion simulations, virtual reality and robotics applications. Most collision detection algorithms are based on geometrical object space i...
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Object interactions are ubiquitous in interactive computergraphics, 3D object motion simulations, virtual reality and robotics applications. Most collision detection algorithms are based on geometrical object space interference tests. Some algorithms have employed an image space approach to the collision detection problem. We demonstrate an image space collision detection process that allows substantial computational savings during the image space interference test. This approach makes efficient use of the graphics rendering hardware for real time complex object interactions.
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