Journal ArticleDOI
3D reconstruction with auto-selected keyframes based on depth completion correction and pose fusion
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TLDR
A depth network of contour and gradient attention is proposed, which is used to complete and correct depth maps to obtain high-resolution and high-quality depth maps and significantly improves the quality of the depth maps, the localization results, and the effect of 3D reconstruction.About:
This article is published in Journal of Visual Communication and Image Representation.The article was published on 2021-08-01. It has received 5 citations till now. The article focuses on the topics: Pose & 3D reconstruction.read more
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AdaDepth: Unsupervised Content Congruent Adaptation for Depth Estimation
TL;DR: The proposed AdaDepth - an unsupervised domain adaptation strategy for the pixel-wise regression task of monocular depth estimation performs competitively with other established approaches on depth estimation tasks and achieves state-of-the-art results in a semi-supervised setting.
Efficient Multi-View Surface Refinement with Adaptive Resolution Control
TL;DR: Adaptive Resolution Control (ARC) as mentioned in this paper evaluates an optimal trade-off between the geometry accuracy and the performance via curve analysis and classifies the regions into the significant and insignificant ones using a graph-cut optimization.
Journal ArticleDOI
3D spatial measurement for model reconstruction: A review
Wendy Flores-Fuentes,Gabriel Trujillo-Hernandez,I. Y. Alba-Corpus,Julio C. Rodriguez-Quinonez,Jesús E. Mirada-Vega,Daniel Hernandez-Balbuena,Fabian N. Murrieta-Rico,Oleg Sergiyenko +7 more
TL;DR: The 3D spatial coordinates for model reconstruction through artificial machine vision systems based on optical sensors and the corresponding signal processing associated with algorithms is a powerful module for cyber systems as discussed by the authors , which provides an efficient, functional, and intelligent vision and data information of the objects and scenes under observation for decisions, as well as for remote environment interactivity and autonomous robot system actuation.
Journal ArticleDOI
The Effect of 3D Image Virtual Reconstruction Based on Visual Communication
TL;DR: The results show that this paper method can effectively improve the ability of 3D image virtual reconstruction.
Journal ArticleDOI
Keyframe Selection for Visual Localization and Mapping Tasks: A Systematic Literature Review
TL;DR: In this paper , the authors identify, analyze, and summarize the methods present in the literature for keyframe selection within the context of visual localization and mapping, and adopt a systematic literature review (SLR) as the basis of their work, built on top of a well-defined methodology.
References
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Journal ArticleDOI
A Computational Approach to Edge Detection
TL;DR: There is a natural uncertainty principle between detection and localization performance, which are the two main goals, and with this principle a single operator shape is derived which is optimal at any scale.
Proceedings ArticleDOI
Are we ready for autonomous driving? The KITTI vision benchmark suite
TL;DR: The autonomous driving platform is used to develop novel challenging benchmarks for the tasks of stereo, optical flow, visual odometry/SLAM and 3D object detection, revealing that methods ranking high on established datasets such as Middlebury perform below average when being moved outside the laboratory to the real world.
Book ChapterDOI
Indoor segmentation and support inference from RGBD images
TL;DR: The goal is to parse typical, often messy, indoor scenes into floor, walls, supporting surfaces, and object regions, and to recover support relationships, to better understand how 3D cues can best inform a structured 3D interpretation.
Proceedings ArticleDOI
Parallel Tracking and Mapping for Small AR Workspaces
Georg Klein,David W. Murray +1 more
TL;DR: A system specifically designed to track a hand-held camera in a small AR workspace, processed in parallel threads on a dual-core computer, that produces detailed maps with thousands of landmarks which can be tracked at frame-rate with accuracy and robustness rivalling that of state-of-the-art model-based systems.
Journal ArticleDOI
MonoSLAM: Real-Time Single Camera SLAM
TL;DR: The first successful application of the SLAM methodology from mobile robotics to the "pure vision" domain of a single uncontrolled camera, achieving real time but drift-free performance inaccessible to structure from motion approaches is presented.