Image-Based 3D Reconstruction of Dynamic Objects Using Instance-Aware Multibody Structure from Motion

Image-Based 3D Reconstruction of Dynamic Objects Using Instance-Aware Multibody Structure from Motion
Author :
Publisher : KIT Scientific Publishing
Total Pages : 194
Release :
ISBN-10 : 9783731510123
ISBN-13 : 373151012X
Rating : 4/5 (12X Downloads)

Book Synopsis Image-Based 3D Reconstruction of Dynamic Objects Using Instance-Aware Multibody Structure from Motion by : Bullinger, Sebastian

Download or read book Image-Based 3D Reconstruction of Dynamic Objects Using Instance-Aware Multibody Structure from Motion written by Bullinger, Sebastian and published by KIT Scientific Publishing. This book was released on 2020-08-26 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This work proposes a Multibody Structure from Motion (MSfM) algorithm for moving object reconstruction that incorporates instance-aware semantic segmentation and multiple view geometry methods. The MSfM pipeline tracks two-dimensional object shapes on pixel level to determine object specific feature correspondences, in order to reconstruct 3D object shapes as well as 3D object motion trajectories" -- Publicaciones de Arquitectura y Arte.


Image-Based 3D Reconstruction of Dynamic Objects Using Instance-Aware Multibody Structure from Motion Related Books

Image-Based 3D Reconstruction of Dynamic Objects Using Instance-Aware Multibody Structure from Motion
Language: en
Pages: 194
Authors: Bullinger, Sebastian
Categories: Computers
Type: BOOK - Published: 2020-08-26 - Publisher: KIT Scientific Publishing

DOWNLOAD EBOOK

"This work proposes a Multibody Structure from Motion (MSfM) algorithm for moving object reconstruction that incorporates instance-aware semantic segmentation a
Dynamic Switching State Systems for Visual Tracking
Language: en
Pages: 228
Authors: Becker, Stefan
Categories: Computers
Type: BOOK - Published: 2020-12-02 - Publisher: KIT Scientific Publishing

DOWNLOAD EBOOK

This work addresses the problem of how to capture the dynamics of maneuvering objects for visual tracking. Towards this end, the perspective of recursive Bayesi
Advances in Visual Computing
Language: en
Pages: 555
Authors: George Bebis
Categories: Computers
Type: BOOK - Published: 2021-12-02 - Publisher: Springer Nature

DOWNLOAD EBOOK

This two-volume set of LNCS 13017 and 13018 constitutes the refereed proceedings of the 16th International Symposium on Visual Computing, ISVC 2021, which was h
Deep Learning based Vehicle Detection in Aerial Imagery
Language: en
Pages: 276
Authors: Sommer, Lars Wilko
Categories: Computers
Type: BOOK - Published: 2022-02-09 - Publisher: KIT Scientific Publishing

DOWNLOAD EBOOK

This book proposes a novel deep learning based detection method, focusing on vehicle detection in aerial imagery recorded in top view. The base detection framew
Principles of Catastrophic Forgetting for Continual Semantic Segmentation in Automated Driving
Language: en
Pages: 236
Authors: Kalb, Tobias Michael
Categories:
Type: BOOK - Published: 2024-10-21 - Publisher: KIT Scientific Publishing

DOWNLOAD EBOOK

Deep learning excels at extracting complex patterns but faces catastrophic forgetting when fine-tuned on new data. This book investigates how class- and domain-