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Showing 1 to 9 of 9 for “"Mesh Reconstruction"”.

  1. Human Mesh Reconstruction Through RF Signal

    M.S.

    buffalo Repository record for Human Mesh Reconstruction Through RF Signal (opens in a new tab)

  2. Error estimation for single-image human body mesh reconstruction

    … methods—to highlight regions on the predicted mesh that are least reliable. We have evaluated the proposed approach on 3DPW, 3DOH, and Human3.6M datasets, and the results demonstrate our model’s effectiveness in identifying inaccurate regions of the human body mesh.

    uoit Repository record for Error estimation for single-image human body mesh reconstruction (opens in a new tab)

  3. An analysis of extracting cross sections from heritage site point clouds using meshfree point-based techniques

    … with this data usually being processed and “meshed” to form a surface mesh model, however, this process is computationally costly and generally creates new data (beyond the original, correct, surface samples). For heritage conservation purposes, accurate and original data is preferred. An …

    cape-town Repository record for An analysis of extracting cross sections from heritage site point clouds using meshfree point-based techniques (opens in a new tab)

  4. Geometrically and Perceptually Accurate Facial Mesh Synthesis and Personalised Blendshapes Generation using Graph Neural Networks

    … advances in deep learning methods applied to mesh processing have led to the development of data driven models. These approaches are at the forefront of content creation technologies, offering artists and users the ability to rapidly generate and edit character assets. Despite major …

    bournemouth Repository record for Geometrically and Perceptually Accurate Facial Mesh Synthesis and Personalised Blendshapes Generation using Graph Neural Networks (opens in a new tab)

  5. SLAM-aware, self-supervised perception in mobile robots

    … we develop an iterative and high-performance mesh-reconstruction algorithm for stereo imagery. We envision that in the future, these tunable mesh representations can potentially enable robots to quickly reconstruct their immediate surroundings while being able to directly plan in them and …

    mit Repository record for SLAM-aware, self-supervised perception in mobile robots (opens in a new tab)

  6. Holistic indoor scene understanding, modelling and reconstruction from single images.

    … (e.g. layout estimation, 3D detection or object reconstruction), or ad- dressing this entire problem with independent subtasks, while this thesis aims to an integrated and unified solution toward semantic scene understanding and reconstruction. In this thesis, scene semantics and geometry are …

    bournemouth Repository record for Holistic indoor scene understanding, modelling and reconstruction from single images. (opens in a new tab)

  7. Mapping of complex marine environments using an unmanned surface craft

    … subsea sonar bathymetric map generation and for mesh reconstruction from lidar data for 3D visualization of above-water structures. We present experimental results in the vicinity of several structures spanning or along the Charles River between Boston and Cambridge, MA. The Harvard and …

    mit Repository record for Mapping of complex marine environments using an unmanned surface craft (opens in a new tab)

  8. Automated CAD Model Generation for Structural Optimisation

    … and maintenance of products. Therefore, the mesh-based finite element descriptions common in structural optimisation must be first translated into CAD models. Currently, this translation either can be performed semi-manually or fails to reserve the structural optimality found by the …

    cambridge Repository record for Automated CAD Model Generation for Structural Optimisation (opens in a new tab)

  9. Neural Representation for 3D Building Reconstruction from Point Clouds

    … from delineated APC building instances, APC2Mesh, a framework which integrates 3D building point completion and reconstruction processes, is proposed. The developed point completion network uses dynamic edge convolution and self-attention mechanism operations to extracts both local and global …

    calgary Repository record for Neural Representation for 3D Building Reconstruction from Point Clouds (opens in a new tab)