Towards Optimal 3D Reconstruction and Semantic Mapping

Towards Optimal 3D Reconstruction and Semantic Mapping
Author: Guoxiang Zhang
Publisher:
Total Pages: 274
Release: 2021
Genre:
ISBN:

Download Towards Optimal 3D Reconstruction and Semantic Mapping Book in PDF, Epub and Kindle

3D reconstruction and semantic mapping are of great importance for many tasks and applications, such as consumer robots, augmented reality, digital heritage, and autonomous vehicles. Despite the drastic advancements in solving the 3D reconstruction problem, it is still challenging to reconstruct accurate 3D models and create semantic maps. Within this dissertation, contributions are made to take steps closer towards optimal 3D reconstruction and semantic mapping. It is crucial to have an easy performance evaluation method for advancing 3D mapping systems. Thus, in Chapter 5, we propose dense map posterior (DMP) for 3D reconstruction and mapping performance evaluation that can work without any ground-truth data. With this metric, one can evaluate 3D mapping systems on any public or new data without worrying about the availability of ground-truth data captured by expensive and bulky equipment. We also show that the DMP can be used beyond the evaluation of final results. It can act as a supervisory figure-of-merit signal during 3D reconstruction processes. To improve 3D reconstruction results, we propose a novel 3D reconstruction system that corrects surface loops with sparse feature-based bundle adjustment. In the system, fast 3D surface-based loop detection is done by a GPU-accelerated random sample consensus algorithm with optimized randomness supported by fractional calculus, which is in Chapter 3. Then, to solve a low-precision problem in surface loop detection, in Chapter 4, an online method for loop sifting is proposed for real-time feedback to users. For the best 3D reconstruction performance, an offline method for loop sifting and majorization is proposed in Chapter 6. State-of-the-art performance is observed in experiments on public and our datasets. In Chapter 7, an exploration of semantic mapping is carried out. A simple and effective real-time 3D semantic mapping method is proposed. In addition, a benchmark suite with a dataset derived from the KITTI dataset

Towards Optimal Point Cloud Processing for 3D Reconstruction

Towards Optimal Point Cloud Processing for 3D Reconstruction
Author: Guoxiang Zhang
Publisher: Springer Nature
Total Pages: 99
Release: 2022-06-03
Genre: Technology & Engineering
ISBN: 3030961109

Download Towards Optimal Point Cloud Processing for 3D Reconstruction Book in PDF, Epub and Kindle

This SpringerBrief presents novel methods of approaching challenging problems in the reconstruction of accurate 3D models and serves as an introduction for further 3D reconstruction methods. It develops a 3D reconstruction system that produces accurate results by cascading multiple novel loop detection, sifting, and optimization methods. The authors offer a fast point cloud registration method that utilizes optimized randomness in random sample consensus for surface loop detection. The text also proposes two methods for surface-loop sifting. One is supported by a sparse-feature-based optimization graph. This graph is more robust to different scan patterns than earlier methods and can cope with tracking failure and recovery. The other is an offline algorithm that can sift loop detections based on their impact on loop optimization results and which is enabled by a dense map posterior metric for 3D reconstruction and mapping performance evaluation works without any costly ground-truth data. The methods presented in Towards Optimal Point Cloud Processing for 3D Reconstruction will be of assistance to researchers developing 3D modelling methods and to workers in the wide variety of fields that exploit such technology including metrology, geological animation and mass customization in smart manufacturing.

Intelligent Imaging and Analysis

Intelligent Imaging and Analysis
Author: DaeEun Kim
Publisher: MDPI
Total Pages: 492
Release: 2020-03-05
Genre: Technology & Engineering
ISBN: 3039219200

Download Intelligent Imaging and Analysis Book in PDF, Epub and Kindle

Imaging and analysis are widely involved in various research fields, including biomedical applications, medical imaging and diagnosis, computer vision, autonomous driving, and robot controls. Imaging and analysis are now facing big changes regarding intelligence, due to the breakthroughs of artificial intelligence techniques, including deep learning. Many difficulties in image generation, reconstruction, de-noising skills, artifact removal, segmentation, detection, and control tasks are being overcome with the help of advanced artificial intelligence approaches. This Special Issue focuses on the latest developments of learning-based intelligent imaging techniques and subsequent analyses, which include photographic imaging, medical imaging, detection, segmentation, medical diagnosis, computer vision, and vision-based robot control. These latest technological developments will be shared through this Special Issue for the various researchers who are involved with imaging itself, or are using image data and analysis for their own specific purposes.

Computer Vision -- ECCV 2014

Computer Vision -- ECCV 2014
Author: David Fleet
Publisher: Springer
Total Pages: 855
Release: 2014-08-14
Genre: Computers
ISBN: 331910599X

Download Computer Vision -- ECCV 2014 Book in PDF, Epub and Kindle

The seven-volume set comprising LNCS volumes 8689-8695 constitutes the refereed proceedings of the 13th European Conference on Computer Vision, ECCV 2014, held in Zurich, Switzerland, in September 2014. The 363 revised papers presented were carefully reviewed and selected from 1444 submissions. The papers are organized in topical sections on tracking and activity recognition; recognition; learning and inference; structure from motion and feature matching; computational photography and low-level vision; vision; segmentation and saliency; context and 3D scenes; motion and 3D scene analysis; and poster sessions.

Reconstruction and Analysis of 3D Scenes

Reconstruction and Analysis of 3D Scenes
Author: Martin Weinmann
Publisher: Springer
Total Pages: 250
Release: 2016-03-17
Genre: Computers
ISBN: 3319292463

Download Reconstruction and Analysis of 3D Scenes Book in PDF, Epub and Kindle

This unique work presents a detailed review of the processing and analysis of 3D point clouds. A fully automated framework is introduced, incorporating each aspect of a typical end-to-end processing workflow, from raw 3D point cloud data to semantic objects in the scene. For each of these components, the book describes the theoretical background, and compares the performance of the proposed approaches to that of current state-of-the-art techniques. Topics and features: reviews techniques for the acquisition of 3D point cloud data and for point quality assessment; explains the fundamental concepts for extracting features from 2D imagery and 3D point cloud data; proposes an original approach to keypoint-based point cloud registration; discusses the enrichment of 3D point clouds by additional information acquired with a thermal camera, and describes a new method for thermal 3D mapping; presents a novel framework for 3D scene analysis.

Computer Vision – ECCV 2020

Computer Vision – ECCV 2020
Author: Andrea Vedaldi
Publisher: Springer Nature
Total Pages: 840
Release: 2020-11-27
Genre: Computers
ISBN: 3030586014

Download Computer Vision – ECCV 2020 Book in PDF, Epub and Kindle

The 30-volume set, comprising the LNCS books 12346 until 12375, constitutes the refereed proceedings of the 16th European Conference on Computer Vision, ECCV 2020, which was planned to be held in Glasgow, UK, during August 23-28, 2020. The conference was held virtually due to the COVID-19 pandemic. The 1360 revised papers presented in these proceedings were carefully reviewed and selected from a total of 5025 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.

Semantic 3D Object Maps for Everyday Robot Manipulation

Semantic 3D Object Maps for Everyday Robot Manipulation
Author: Radu Bogdan Rusu
Publisher: Springer
Total Pages: 235
Release: 2013-01-13
Genre: Technology & Engineering
ISBN: 3642354793

Download Semantic 3D Object Maps for Everyday Robot Manipulation Book in PDF, Epub and Kindle

The book written by Dr. Radu B. Rusu presents a detailed description of 3D Semantic Mapping in the context of mobile robot manipulation. As autonomous robotic platforms get more sophisticated manipulation capabilities, they also need more expressive and comprehensive environment models that include the objects present in the world, together with their position, form, and other semantic aspects, as well as interpretations of these objects with respect to the robot tasks. The book proposes novel 3D feature representations called Point Feature Histograms (PFH), as well as a frameworks for the acquisition and processing of Semantic 3D Object Maps with contributions to robust registration, fast segmentation into regions, and reliable object detection, categorization, and reconstruction. These contributions have been fully implemented and empirically evaluated on different robotic systems, and have been the original kernel to the widely successful open-source project the Point Cloud Library (PCL) -- see http://pointclouds.org.

Robotics Research

Robotics Research
Author: Nancy M. Amato
Publisher: Springer Nature
Total Pages: 1058
Release: 2019-11-28
Genre: Technology & Engineering
ISBN: 3030286193

Download Robotics Research Book in PDF, Epub and Kindle

ISRR, the "International Symposium on Robotics Research", is one of robotics pioneering Symposia, which has established over the past two decades some of the field's most fundamental and lasting contributions. This book presents the results of the eighteenth edition of "Robotics Research" ISRR17, offering a collection of a broad range of topics in robotics. This symposium took place in Puerto Varas, Chile from December 11th to December 14th, 2017. The content of the contributions provides a wide coverage of the current state of robotics research, the advances and challenges in its theoretical foundation and technology basis, and the developments in its traditional and new emerging areas of applications. The diversity, novelty, and span of the work unfolding in these areas reveal the field's increased maturity and expanded scope and define the state of the art of robotics and its future direction.

Medical Image Computing and Computer Assisted Intervention – MICCAI 2021

Medical Image Computing and Computer Assisted Intervention – MICCAI 2021
Author: Marleen de Bruijne
Publisher: Springer Nature
Total Pages: 693
Release: 2021-09-23
Genre: Computers
ISBN: 3030871967

Download Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 Book in PDF, Epub and Kindle

The eight-volume set LNCS 12901, 12902, 12903, 12904, 12905, 12906, 12907, and 12908 constitutes the refereed proceedings of the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021, held in Strasbourg, France, in September/October 2021.* The 531 revised full papers presented were carefully reviewed and selected from 1630 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: image segmentation Part II: machine learning - self-supervised learning; machine learning - semi-supervised learning; and machine learning - weakly supervised learning Part III: machine learning - advances in machine learning theory; machine learning - attention models; machine learning - domain adaptation; machine learning - federated learning; machine learning - interpretability / explainability; and machine learning - uncertainty Part IV: image registration; image-guided interventions and surgery; surgical data science; surgical planning and simulation; surgical skill and work flow analysis; and surgical visualization and mixed, augmented and virtual reality Part V: computer aided diagnosis; integration of imaging with non-imaging biomarkers; and outcome/disease prediction Part VI: image reconstruction; clinical applications - cardiac; and clinical applications - vascular Part VII: clinical applications - abdomen; clinical applications - breast; clinical applications - dermatology; clinical applications - fetal imaging; clinical applications - lung; clinical applications - neuroimaging - brain development; clinical applications - neuroimaging - DWI and tractography; clinical applications - neuroimaging - functional brain networks; clinical applications - neuroimaging – others; and clinical applications - oncology Part VIII: clinical applications - ophthalmology; computational (integrative) pathology; modalities - microscopy; modalities - histopathology; and modalities - ultrasound *The conference was held virtually.

Computer Vision – ECCV 2018

Computer Vision – ECCV 2018
Author: Vittorio Ferrari
Publisher: Springer
Total Pages: 809
Release: 2018-10-05
Genre: Computers
ISBN: 3030012581

Download Computer Vision – ECCV 2018 Book in PDF, Epub and Kindle

The sixteen-volume set comprising the LNCS volumes 11205-11220 constitutes the refereed proceedings of the 15th European Conference on Computer Vision, ECCV 2018, held in Munich, Germany, in September 2018.The 776 revised papers presented were carefully reviewed and selected from 2439 submissions. The papers are organized in topical sections on learning for vision; computational photography; human analysis; human sensing; stereo and reconstruction; optimization; matching and recognition; video attention; and poster sessions.