標(biāo)題: Titlebook: RGB-D Image Analysis and Processing; Paul L. Rosin,Yu-Kun Lai,Yonghuai Liu Book 2019 Springer Nature Switzerland AG 2019 RGB-D Images.Comp [打印本頁] 作者: 他剪短 時(shí)間: 2025-3-21 16:33
書目名稱RGB-D Image Analysis and Processing影響因子(影響力)
書目名稱RGB-D Image Analysis and Processing影響因子(影響力)學(xué)科排名
書目名稱RGB-D Image Analysis and Processing網(wǎng)絡(luò)公開度
書目名稱RGB-D Image Analysis and Processing網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱RGB-D Image Analysis and Processing被引頻次
書目名稱RGB-D Image Analysis and Processing被引頻次學(xué)科排名
書目名稱RGB-D Image Analysis and Processing年度引用
書目名稱RGB-D Image Analysis and Processing年度引用學(xué)科排名
書目名稱RGB-D Image Analysis and Processing讀者反饋
書目名稱RGB-D Image Analysis and Processing讀者反饋學(xué)科排名
作者: 詞根詞綴法 時(shí)間: 2025-3-21 23:50
https://doi.org/10.1007/978-3-030-28603-3RGB-D Images; Computer Vision; 3D Shape Analysis; RGB-D Applications; 3D Image Analysis作者: GEON 時(shí)間: 2025-3-22 01:33
978-3-030-28605-7Springer Nature Switzerland AG 2019作者: 谷類 時(shí)間: 2025-3-22 07:42 作者: Gourmet 時(shí)間: 2025-3-22 11:21 作者: Virtues 時(shí)間: 2025-3-22 15:14
Commodity RGB-D Sensors: Data Acquisition accessible to a few domain experts, such sensors are nowadays ubiquitous and can even be found in the latest generation of mobile devices, e.g., current smartphones. This democratization of range sensing technology was started with the release of the Microsoft Kinect, and since then many different 作者: Thyroid-Gland 時(shí)間: 2025-3-22 17:22 作者: frivolous 時(shí)間: 2025-3-23 01:03
Depth Super-Resolution with Color Guidance: A Reviewns in 3D reconstruction, automotive driver assistance and augmented reality. Due to the easy acquirement of the aligned high-resolution color images, there have been many depth SR approaches with color guidance in the past years. This chapter provides a comprehensive survey of the recent development作者: lymphedema 時(shí)間: 2025-3-23 02:11 作者: daredevil 時(shí)間: 2025-3-23 06:52
3D Reconstruction from RGB-D Data dynamic scenes, motion of the scene from visual sensors. Recently, low-cost video plus depth (RGB-D) sensors have become widely available and have been applied to 3D reconstruction of both static and dynamic scenes. RGB-D sensors contain an active depth sensor, which provides a stream of depth maps作者: FADE 時(shí)間: 2025-3-23 10:33
RGB-D Odometry and SLAM. They are low-cost, low-power, and low-size alternatives to traditional range sensors such as LiDAR. Moreover, unlike RGB cameras, RGB-D sensors provide the additional depth information that removes the need of frame-by-frame triangulation for 3D scene reconstruction. These merits have made them ve作者: 值得 時(shí)間: 2025-3-23 14:01 作者: sundowning 時(shí)間: 2025-3-23 21:05 作者: 剛開始 時(shí)間: 2025-3-24 00:55 作者: ABASH 時(shí)間: 2025-3-24 03:35
Foreground Detection and Segmentation in RGB-D Imagesmmunity, foreground detection and segmentation for RGB-D images have gained a lot of research interest in the past years. In this chapter, an overview of some foreground-based tasks in RGB-D images is provided, including saliency detection, co-saliency detection, foreground segmentation, and co-segm作者: sclera 時(shí)間: 2025-3-24 07:07
Instance- and Category-Level 6D Object Pose Estimationuch as robotics and augmented reality. To recover poses from objects that have been seen in advance, instance-level methods have been presented to overcome challenges such as occlusion, clutter and similarly looking distractors. The problem has recently been addressed at the category level, where po作者: plasma 時(shí)間: 2025-3-24 10:49 作者: BROTH 時(shí)間: 2025-3-24 17:59 作者: Estimable 時(shí)間: 2025-3-24 22:59
RGB-D Sensors and Signal Processing for Fall Detectionis one of the most important application areas within the framework of Ambient-Assisted Living (AAL) solutions. Studies report that the majority of falls occur at home, as a person’s living environment is filled with potential hazards, predominantly in the living room and in the bedroom. In addition作者: abnegate 時(shí)間: 2025-3-24 23:23 作者: ELATE 時(shí)間: 2025-3-25 06:18 作者: Proclaim 時(shí)間: 2025-3-25 08:30 作者: dialect 時(shí)間: 2025-3-25 15:41
Geometric and Semantic Modeling from RGB-D Datal overview recent efforts on this research topic, in particular, research using advanced machine learning techniques, exploiting the complementary characteristics of geometry and image information in RGB-D data, and incorporating prior knowledge.作者: 卡死偷電 時(shí)間: 2025-3-25 16:34
Real-Time Hand Pose Estimation Using Depth Camerac regression method that directly regresses holistic 3D hand pose; (2) point-set-based point-wise regression method that generates dense outputs for robust 3D hand pose estimation. Extensive experiments are conducted to evaluate the effectiveness of these two methods. We will also discuss the limitations and advantages of the proposed methods.作者: 漂泊 時(shí)間: 2025-3-25 22:36
RGB-D Salient Object Detection: A Review since many RGB-D salient object detection methods derive from the existing RGB ones. Next, we present the typical RGB-D salient object detection methods, evaluate their performance on public datasets, and summarize their issues. Finally, we discuss some open problems and suggestions for future research.作者: 讓步 時(shí)間: 2025-3-26 03:22 作者: 大笑 時(shí)間: 2025-3-26 07:11 作者: 全能 時(shí)間: 2025-3-26 11:32 作者: Insubordinate 時(shí)間: 2025-3-26 15:50
Oscar Meruvia-Pastorcal specimen preparation to three-dimensional images of the .Electron tomography has become a standard technique with applications in cell biology, structural biology, and materials science. This definitive work provides a comprehensive treatment of the mathematical background and working methods of作者: Hay-Fever 時(shí)間: 2025-3-26 20:23
imaging method provides full 3D structural information at much higher resolution (typically 5–10 nm) than is attainable by light microscopy, and can be applied to cells and organelles that are maintained in a state that is as close to native as can be achieved currently in electron microscopy. Not o作者: ENDOW 時(shí)間: 2025-3-26 23:04 作者: 出血 時(shí)間: 2025-3-27 05:11
Tongwei Ren,Ao Zhangr methods are defined as algorithms that restore the Fourier transform of the object from the Fourier transforms of the projections and then obtain the real-space distribution of the object by inverse Fourier transformation. Included in this group are also equivalent reconstruction schemes that use 作者: 他姓手中拿著 時(shí)間: 2025-3-27 07:51
Runmin Cong,Hao Chen,Hongyuan Zhu,Huazhu Fuecimen in the field of view, orient the specimen with respect to the optical axis, cool it to liquid nitrogen or liquid helium temperatures, and be stable to atomic dimensions for a minute or more. The stage must have two 3-mm translation motions, which at 0.3 nm resolution corresponds to a stabilit作者: ironic 時(shí)間: 2025-3-27 12:06 作者: 狂怒 時(shí)間: 2025-3-27 17:24 作者: 暗語 時(shí)間: 2025-3-27 19:52 作者: Ankylo- 時(shí)間: 2025-3-27 23:48
Max Schwarz,Sven Behnkeecombination and transport in organic materials is responsible for a series of attractive physical properties. Radical ion formation is often accompanied by structural changes being well understood in small organic molecules, which also constitute repeating units of intensively studied macromolecule作者: 偶然 時(shí)間: 2025-3-28 04:43 作者: Glossy 時(shí)間: 2025-3-28 07:29 作者: Germinate 時(shí)間: 2025-3-28 12:02 作者: insular 時(shí)間: 2025-3-28 16:03 作者: 認(rèn)為 時(shí)間: 2025-3-28 21:47
Commodity RGB-D Sensors: Data Acquisitioniled look into the different types of existing range sensors. We discuss the two fundamental types of commodity range sensing techniques in detail, namely passive and active sensing, and we explore the principles these technologies are based on. Our focus is on modern active commodity range sensors 作者: 的染料 時(shí)間: 2025-3-29 00:15
Dealing with Missing Depth: Recent Advances in Depth Image Completion and Estimationletion of missing scene depth is contrastingly limited. Furthermore, recent advances in machine learning using deep neural networks have enabled complete depth estimation in a monocular or stereo framework circumnavigating the need for any completion post-processing, hence increasing both efficiency作者: 護(hù)身符 時(shí)間: 2025-3-29 06:53 作者: Minikin 時(shí)間: 2025-3-29 09:28
RGB-D Sensors Data Quality Assessment and Improvement for Advanced Applicationsinformation that can be extracted by the raw data, together with proper criteria for data validation and verification. The present chapter provides an overview of RGB-D sensors technology and an analysis of how random and systematic 3D measurement errors affect the global 3D data quality in the vari作者: 一條卷發(fā) 時(shí)間: 2025-3-29 12:08
3D Reconstruction from RGB-D Datadistinctive texture. There are two key components to 3D reconstruction from RGB-D data: (1) spatial alignment of the surface over time and, (2) fusion of noisy, partial surface measurements into a more complete, consistent 3D model. In the case of static scenes, the sensor is typically moved around 作者: BRUNT 時(shí)間: 2025-3-29 16:01
RGB-D Odometry and SLAM are closely related, as the former aims to track the incremental camera motion with respect to a local map of the scene, and the latter to jointly estimate the camera trajectory and the global map with consistency. In both cases, the standard approaches minimize a cost function using nonlinear opti作者: 娘娘腔 時(shí)間: 2025-3-29 21:09
Enhancing 3D Capture with Multiple Depth Camera Systems: A State-of-the-Art Reportse challenges have been addressed and present the most comprehensive review to date of the techniques used to implement multiple depth-sensing camera systems. In addition, we present a wide array of applications supported by multiple depth camera systems (MDCs).作者: nonradioactive 時(shí)間: 2025-3-29 23:55
RGB-D Image-Based Object Detection: From Traditional Methods to Deep Learning Techniquesedented level of performance. We survey the key contributions, summarize the most commonly used pipelines, discuss their benefits and limitations and highlight some important directions for future?research.作者: 一起平行 時(shí)間: 2025-3-30 07:50 作者: 混合 時(shí)間: 2025-3-30 11:35
RGB-D Sensors and Signal Processing for Fall Detectionavailability of easy-to-use sensors that are able to provide not only raw RGB-D signals but also preprocessed data like joints and skeleton spatial coordinates; additionally, depth signal processing allows to maintain adequate privacy in human monitoring, especially at the levels deemed acceptable b作者: 恭維 時(shí)間: 2025-3-30 13:46
RGB-D Interactive Systems on Serious Games for Motor Rehabilitation Therapy and Therapeutic Measuremdifferent case studies where we applied the presented method. The first one consists of an interactive system based on a RGB-D sensor to calculate the Functional Reach Test (FRT). The second one consists on a RGB-D interactive system to improve the balance and postural control of adults with cerebra作者: 憤憤不平 時(shí)間: 2025-3-30 20:22
Book 2019overs the full state of the art, and consists of a series of chapters by internationally renowned experts in the field. Each chapter is written so as to provide a detailed overview of that topic. .RGB-D Image Analysis and Processing .will enable both students and professional developers alike to qui作者: Mnemonics 時(shí)間: 2025-3-31 00:19
Oscar Meruvia-Pastorentation. Each chapter is a self-contained treatise by a world expert in the author‘s field of research, resulting in an indispensable resource and companion for laboratories that practice electron tomography o978-1-4419-2172-7978-0-387-69008-7作者: connoisseur 時(shí)間: 2025-3-31 04:17
2191-6586 enowned experts in the field. Each chapter is written so as to provide a detailed overview of that topic. .RGB-D Image Analysis and Processing .will enable both students and professional developers alike to qui978-3-030-28605-7978-3-030-28603-3Series ISSN 2191-6586 Series E-ISSN 2191-6594 作者: 我沒有強(qiáng)迫 時(shí)間: 2025-3-31 05:30
ame molecular assemblies after isolation. As with studies using single-particle cryoelectron microscopy, specimens smaller than 1 μ in size can be prepared for cryoelectron tomography by plunge-freezing (.). Cells or organelles can be rapidly frozen directly on an electron microscope grid in thin la作者: frivolous 時(shí)間: 2025-3-31 10:25
Isaac Ronald Ward,Hamid Laga,Mohammed Bennamounection methods are difficult to classify in this scheme, since they are equivalent to convolution back-projection algorithms, but work on the real-space data as well as the Fourier transform data of either the object or the projections. Both convolution back-projection and weighted back-projection a作者: 逃避系列單詞 時(shí)間: 2025-3-31 13:28
Tongwei Ren,Ao Zhangection methods are difficult to classify in this scheme, since they are equivalent to convolution back-projection algorithms, but work on the real-space data as well as the Fourier transform data of either the object or the projections. Both convolution back-projection and weighted back-projection a作者: Consensus 時(shí)間: 2025-3-31 21:02
Runmin Cong,Hao Chen,Hongyuan Zhu,Huazhu Funot be perturbed to one part in 10.. The mechanism must be contained in a volume of about one to a few cubic centimeters in the middle of an electron optical column, and vibration problems can be severe (Turner and Ratkowski, 1982). Some vibration modeling has been done (Valle .., 1980), but is of l
