Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 7 of 7 for “"Dense point cloud"”.
-
Automated image-based 3D reconstruction system for precise plant modeling
… system, which reconstructs a high-quality 3D dense point cloud for plants from video inputs that are taken in a casual setting. The input data can be easily collected using an ordinary hand-held camera or phone camera in a daily environmental setting, by slowly walking around the plant. And …
-
Combining recognition and geometry for data-driven 3D reconstruction
… highly accurate reconstructions, the resulting point clouds are often noisy and incomplete. Due to these issues, it may also be difficult to answer higher-level questions about the geometry, such as whether two surfaces meet at a right angle or whether a surface is planar. Furthermore, …
-
Supervoxel Based Object Detection and Seafloor Segmentation Using Novel 3d Side-Scan Sonar
… the side-scan sonar now produces a true 3D point cloud representation of the seafloor embedded with echo intensity. This creates a need to develop algorithms to process the incoming 3D data for applications such as object detection and segmentation, and an opportunity to leverage advances in …
-
Robust and Lightweight Localization and Dense Mapping for Multi-Robot Systems
… the centralized and distributed setting, with point-cloud or mesh-based representations to create a lightweight but dense map of the environment from vision or lidar data. We present and discuss four different approaches to multi-robot SLAM. The first approach, named Large-scale Autonomous …
-
Improve OpenMVG and create a novel algorithm for novel view synthesis from point clouds
… from new views given a photo collection and 3D point cloud. First, the original OpenMVG is parallelized using GPU and its data structure is optimized. Moreover, we integrated the MatchMiner algorithm into OpenMVG to further improve its efficiency. Last but not least, an initial pair selection …
-
Object-centric Mapping
… environment using geometric entities, such as 3D points, voxels or surfels. Representing an environment at the level of objects captures both the semantic and geometric information of an environment. It is more natural, compact, and closer to how human beings perceive the environment. …