標(biāo)題: Titlebook: Reconstruction and Analysis of 3D Scenes; From Irregularly Dis Martin Weinmann Book 2016 Springer International Publishing Switzerland 2016 [打印本頁(yè)] 作者: 動(dòng)詞 時(shí)間: 2025-3-21 16:14
書(shū)目名稱Reconstruction and Analysis of 3D Scenes影響因子(影響力)
書(shū)目名稱Reconstruction and Analysis of 3D Scenes影響因子(影響力)學(xué)科排名
書(shū)目名稱Reconstruction and Analysis of 3D Scenes網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱Reconstruction and Analysis of 3D Scenes網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱Reconstruction and Analysis of 3D Scenes被引頻次
書(shū)目名稱Reconstruction and Analysis of 3D Scenes被引頻次學(xué)科排名
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書(shū)目名稱Reconstruction and Analysis of 3D Scenes年度引用學(xué)科排名
書(shū)目名稱Reconstruction and Analysis of 3D Scenes讀者反饋
書(shū)目名稱Reconstruction and Analysis of 3D Scenes讀者反饋學(xué)科排名
作者: narcissism 時(shí)間: 2025-3-22 00:14 作者: 細(xì)胞膜 時(shí)間: 2025-3-22 00:33 作者: 微枝末節(jié) 時(shí)間: 2025-3-22 06:06
Book 2016pts 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.作者: intellect 時(shí)間: 2025-3-22 11:45
Introduction,s), (ii) data fusion in terms of an enrichment of existing 3D point cloud data by adding external data from multiple, but complementary data sources, and (iii) a semantic reasoning based on all available information. We explain the challenges of recent research in this domain and present our scienti作者: labile 時(shí)間: 2025-3-22 14:34
Preliminaries of 3D Point Cloud Processing,nd subsequently provide basic definitions for the most important terms which are important to consider the contents presented in this book in the global context. Based on these explanations, we focus on the use of 3D point cloud data and explain how 3D point cloud data may be acquired and how 3D poi作者: cumber 時(shí)間: 2025-3-22 20:46
A Brief Survey on 2D and 3D Feature Extraction,lighten these issues in the context of 2D imagery and 3D point cloud data. Hence, we address fundamental ideas by focusing on several questions: How can we detect an object? How can we describe an object? What makes an object memorable? According to which criteria can we recognize the same object or作者: FLUSH 時(shí)間: 2025-3-22 21:36 作者: 朦朧 時(shí)間: 2025-3-23 01:28 作者: Plaque 時(shí)間: 2025-3-23 08:33
3D Scene Analysis,mework composed of four components addressing (i) neighborhood selection, (ii) feature extraction, (iii) feature selection, and (iv) classification. For each component, we consider a variety of approaches which allow applicability in terms of simplicity and reproducibility, so that end-users may eas作者: neuron 時(shí)間: 2025-3-23 10:08
Preliminaries of 3D Point Cloud Processing,d data is typically corrupted with a certain amount of noise, we enlighten the issue of filtering raw 3D point cloud data in terms of removing unreliable 3D points. In this regard, we present two novel measures for point quality assessment and discuss their chances and limitations in detail. Finally, we provide concluding remarks.作者: 先鋒派 時(shí)間: 2025-3-23 15:00
http://image.papertrans.cn/r/image/824243.jpg作者: MUMP 時(shí)間: 2025-3-23 22:05
https://doi.org/10.1007/978-3-319-29246-52D Feature Extraction; 3D Feature Extraction; 3D Scene Analysis and Interpretation; Classification; Comp作者: progestin 時(shí)間: 2025-3-23 23:57
Conclusions and Future Work,In this chapter, we summarize the contents presented in the previous chapters. Thereby, we highlight our main contributions addressing different aspects in a typical end-to-end processing workflow from raw 3D point cloud data to semantic objects in the scene. Finally, we provide suggestions for future work.作者: Genetics 時(shí)間: 2025-3-24 02:34 作者: 通情達(dá)理 時(shí)間: 2025-3-24 09:21 作者: assent 時(shí)間: 2025-3-24 11:47
ression, use, and maintenance, among other aspects. Considering that Algarve’s building boom occurred between the 60s and 80s, a significant quantity of buildings is achieving their lifetime. Consequently, the demand for rehabilitation is rapidly increasing. Buildings, like other infrastructures, de作者: ELUC 時(shí)間: 2025-3-24 17:18
Martin Weinmanne production of medical waste, including disposable masks, personal protective equipment (PPE), and other trash associated with healthcare. These items’ improper disposal has sparked worries about potential dangers to the environment and public health. Moreover, a significant increase in home trash 作者: Cabg318 時(shí)間: 2025-3-24 19:50 作者: 特別容易碎 時(shí)間: 2025-3-24 23:19
Martin Weinmanngricultural and food-producing sectors to produce very large quantities of high-energy and nutritional food products. During this process, many types of agri-food wastes in the form of crop residues, food leftovers, kitchen wastes, and livestock manures are generated. Although these types of waste c作者: 設(shè)想 時(shí)間: 2025-3-25 06:32 作者: 鍵琴 時(shí)間: 2025-3-25 09:20 作者: 吞下 時(shí)間: 2025-3-25 13:05
Martin Weinmannnetic radiation, among others. Air pollution is responsible for the deaths of around 3.5?million people annually. Polluted air contains gaseous components and suspended particles such as particulate matter. All these constituents have different chemical compositions, origins and health consequences.作者: 同位素 時(shí)間: 2025-3-25 18:28 作者: hurricane 時(shí)間: 2025-3-25 22:44 作者: 輕推 時(shí)間: 2025-3-26 02:43
A Brief Survey on 2D and 3D Feature Extraction,ocus on feature extraction from 2D imagery as well as feature extraction from 3D point cloud data. Based on these findings, we discuss the motivation for involving specific features in the scope of our work and, finally, we provide concluding remarks.作者: 發(fā)芽 時(shí)間: 2025-3-26 08:19
Point Cloud Registration,approaches by more promising alternatives. The latter may not only address the involved strategy for point cloud registration, but also the involved approaches for feature extraction and matching. In a detailed evaluation, we demonstrate that, instead of directly aligning sets of corresponding 3D po作者: 親密 時(shí)間: 2025-3-26 12:09
Co-Registration of 2D Imagery and 3D Point Cloud Data,n. For the last component, we consider two different approaches represented by a RANSAC-based homography estimation for almost planar scenes and a RANSAC-based projective scan matching technique for general scenes. For the example of an indoor scene, we demonstrate the performance of our framework i作者: 黃瓜 時(shí)間: 2025-3-26 14:30 作者: Epidural-Space 時(shí)間: 2025-3-26 17:28 作者: Fecal-Impaction 時(shí)間: 2025-3-26 23:34 作者: 群居男女 時(shí)間: 2025-3-27 02:22
Martin Weinmannand waste-to-energy systems. The pandemic has also brought attention to the significance of educating and raising public knowledge about proper garbage disposal, recycling, and segregation techniques. Although the pandemic has created many difficulties, it has also provided chances to create more ro作者: conscribe 時(shí)間: 2025-3-27 05:33 作者: ureter 時(shí)間: 2025-3-27 11:26 作者: 母豬 時(shí)間: 2025-3-27 14:55
Martin Weinmannery sludge are disposed into the environment, thus causing both water and soil pollution. The rapid growth of industrialization and urbanization has increased the amount of toxic wastewater disposed by various industries into water bodies and environments, with ~80% of the wastewater containing harm作者: febrile 時(shí)間: 2025-3-27 21:05 作者: 柱廊 時(shí)間: 2025-3-28 01:38 作者: 珍奇 時(shí)間: 2025-3-28 05:15 作者: 改正 時(shí)間: 2025-3-28 06:50
