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| Total Pages | : |
| Release | : 2015 |
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| Author | : Stawros Ladikos |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2011 |
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| Author | : Dimitris Metaxas |
| Publisher | : Springer |
| Total Pages | : 1161 |
| Release | : 2008-10-30 |
| Genre | : Computers |
| ISBN | : 354085990X |
The 11th International Conference on Medical Imaging and Computer Assisted Intervention, MICCAI 2008, was held at the Helen and Martin Kimmel Center of New York University, New York City, USA on September 6–10, 2008. MICCAI is the premier international conference in this domain, with - depth papers on the multidisciplinary ?elds of biomedical image computing and analysis, computer assisted intervention and medical robotics. The conference brings together biological scientists, clinicians, computer scientists, engineers, mathematicians, physicists and other interested researchers and o?ers them a forum to exchange ideas in these exciting and rapidly growing ?elds. The conference is both very selective and very attractive: this year we - ceived a record number of 700 submissions from 34 countries and 6 continents, fromwhich258papers were selectedfor publication,whichcorrespondsto a s- cess rate of approximately 36%. Some interesting facts about the distribution of submitted and accepted papers are shown graphically at the end of this preface. The paper selection process this year was based on the following procedure, which included the introduction of several novelties over previous years. 1. A ProgramCommittee (PC) of 49 members was recruited by the Program Chairs,to getthenecessarybody ofexpertiseandgeographicalcoverage.All PC members agreed in advance to participate in the ?nal paper selection process. 2. Key words grouped in 7 categories were used to describe the content of the submissions and the expertise of the reviewers.
| Author | : Tianzi Jiang |
| Publisher | : Springer |
| Total Pages | : 709 |
| Release | : 2010-09-21 |
| Genre | : Computers |
| ISBN | : 3642157114 |
The13thInternationalConferenceonMedicalImageComputingandComputer- Assisted Intervention, MICCAI 2010, was held in Beijing, China from 20-24 September,2010.ThevenuewastheChinaNationalConventionCenter(CNCC), China’slargestandnewestconferencecenterwith excellentfacilities andaprime location in the heart of the Olympic Green, adjacent to characteristic constr- tions like the Bird’s Nest (National Stadium) and the Water Cube (National Aquatics Center). MICCAI is the foremost international scienti?c event in the ?eld of medical image computing and computer-assisted interventions. The annual conference has a high scienti?c standard by virtue of the threshold for acceptance, and accordingly MICCAI has built up a track record of attracting leading scientists, engineersandcliniciansfromawiderangeoftechnicalandbiomedicaldisciplines. This year, we received 786 submissions, well in line with the previous two conferences in New York and London. Three program chairs and a program committee of 31 scientists, all with a recognized standing in the ?eld of the conference, were responsible for the selection of the papers. The review process was set up such that each paper was considered by the three program chairs, two program committee members, and a minimum of three external reviewers. The review process was double-blind, so the reviewers did not know the identity of the authors of the submission. After a careful evaluation procedure, in which all controversialand gray area papers were discussed individually, we arrived at a total of 251 accepted papers for MICCAI 2010, of which 45 were selected for podium presentation and 206 for poster presentation. The acceptance percentage (32%) was in keeping with that of previous MICCAI conferences. All 251 papers are included in the three MICCAI 2010 LNCS volumes.
| Author | : Dimitris N. Metaxas |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 1136 |
| Release | : 2008 |
| Genre | : Diagnostic imaging |
| ISBN | : 354085987X |
Annotation The two-volume set LNCS 5241 and LNCS 5242 constitute the refereed proceedings of the 11th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2008, held in New York, NY, USA, in September 2008.The program committee carefully selected 258 revised papers from numerous submissions for presentation in two volumes, based on rigorous peer reviews. The first volume includes 127 papers related to medical image computing, segmentation, shape and statistics analysis, modeling, motion tracking and compensation, as well as registration. The second volume contains 131 contributions related to robotics and interventions, statistical analysis, segmentation, intervention, modeling, and registration.
| Author | : Guang-Zhong Yang |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 1078 |
| Release | : 2009-09-07 |
| Genre | : Computers |
| ISBN | : 3642042678 |
The two-volume set LNCS 5761 and LNCS 5762 constitute the refereed proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2009, held in London, UK, in September 2009. Based on rigorous peer reviews, the program committee carefully selected 259 revised papers from 804 submissions for presentation in two volumes. The first volume includes 125 papers divided in topical sections on cardiovascular image guided intervention and robotics; surgical navigation and tissue interaction; intra-operative imaging and endoscopic navigation; motion modelling and image formation; image registration; modelling and segmentation; image segmentation and classification; segmentation and atlas based techniques; neuroimage analysis; surgical navigation and robotics; image registration; and neuroimage analysis: structure and function.
| Author | : Jordi Magdaleno Maltas |
| Publisher | : |
| Total Pages | : |
| Release | : 2015 |
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This thesis presents how to obtain a real-time 3D reconstruction of a non-structured scene using multiple RGB-D cameras with the aim to use it for robot planning. Several techniques have been developed, starting from raycasting. In order to obtain better speeds some point filtering procedures have been used. Finally, a temporal filtering technique is used to replace the raycasting approach, and to provide a better reconstruction, a sparse points filter is implemented.
| Author | : Marcin Grzegorzek |
| Publisher | : Springer |
| Total Pages | : 324 |
| Release | : 2013-11-09 |
| Genre | : Computers |
| ISBN | : 3642449646 |
Cameras for 3D depth imaging, using either time-of-flight (ToF) or structured light sensors, have received a lot of attention recently and have been improved considerably over the last few years. The present techniques make full-range 3D data available at video frame rates, and thus pave the way for a much broader application of 3D vision systems. A series of workshops have closely followed the developments within ToF imaging over the years. Today, depth imaging workshops can be found at every major computer vision conference. The papers presented in this volume stem from a seminar on Time-of-Flight Imaging held at Schloss Dagstuhl in October 2012. They cover all aspects of ToF depth imaging, from sensors and basic foundations, to algorithms for low level processing, to important applications that exploit depth imaging. In addition, this book contains the proceedings of a workshop on Imaging New Modalities, which was held at the German Conference on Pattern Recognition in Saarbrücken, Germany, in September 2013. A state-of-the-art report on the Kinect sensor and its applications is followed by two reports on local and global ToF motion compensation and a novel depth capture system using a plenoptic multi-lens multi-focus camera sensor.
| Author | : Samir Shaker |
| Publisher | : |
| Total Pages | : 76 |
| Release | : 2010 |
| Genre | : |
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Three-dimensional maps are useful in various applications: from games, to augmented reality, to the development of tour guides of important landmarks such as museums or university campuses. The manual creation of such maps is labor intensive and has therefore justified its automation using robots with range sensors such as lasers or robots with cameras. This thesis presents an automated 3D reconstruction system for indoor environments using only one camera on a mobile robot with an algorithm that runs in real-time. It relies on a vision-based Occupancy Grid SLAM (Simultaneous Localization and Mapping) to detect the ground. The novelty of this work is the method in which 3D information is extracted and fed to SLAM. The ground is first detected by fitting planes to salient features in image segments and by determining the height and orientation of those planes. Then on the height of the ground, 3D virtual rays are cast in a multitude of angles starting from the camera center until they reach the edges of the ground segments in the image. Detection of the ground boundaries is done by continually reprojecting each ray from the 3D world to the 2D image plane. Dense depth information can then be suggested from these rays and input to SLAM. Edge detection and line fitting is then used on the SLAM map to extend walls from those edges until they reach the ceiling. The system produces good quality maps and reduces the high computational cost of dense stereo matching by processing only a sparse set of salient features in real-time. Extensive experiments are conducted inside a lab setting and results prove the success of the system.
| Author | : Christian Nitschke |
| Publisher | : diplom.de |
| Total Pages | : 153 |
| Release | : 2007-03-05 |
| Genre | : Technology & Engineering |
| ISBN | : 3956362012 |
Inhaltsangabe:Introduction: Reconstruction of real-world scenes from a set of multiple images is a topic in Computer Vision and 3D Computer Graphics with many interesting applications. There is a relation to Augmented and Mixed Reality (AR/MR), Computer-Supported Collaborative Work (CSCW), Computer-Aided industrial/architectural Design (CAD), modeling of the real-world (e.g. computer games, scenes/effects in movies), entertainment (e.g. 3D TV/Video) and recognition/analyzing of real-world characteristics by computer systems and robots. There exists a powerful algorithm theory for shape reconstruction from arbitrary viewpoints, called shape from photo-consistency. However, it is computationally expensive and hence can not be used with applications in the field of 3D video or CSCW as well as interactive 3D model creation. Attempts have been made to achieve real-time framerates using PC cluster systems. While these provide enough performance they are also expensive and less flexible. Approaches that use GPU hardware-acceleration on single workstations achieve interactive framerates for novel-view synthesis, but do not provide an explicit volumetric representation of the whole scene. The proposed approach shows the efforts in developing a GPU hardware-accelerated framework for obtaining the volumetric photo hull of a dynamic 3D scene as seen from multiple calibrated cameras. High performance is achieved by employing a shape from silhouette technique in advance to obtain a tight initial volume for shape from photo-consistency. Also several speed-up techniques are presented to increase efficiency. Since the entire processing is done on a single PC, the framework can be applied to mobile setups, enabling a wide range of further applications. The approach is explained using programmable vertex and fragment processors and compared to highly optimized CPU implementations. It is shown that the new approach can outperform the latter by more than one magnitude. The thesis is organized as follows: Chapter 1 contains an introduction, giving an overview with classification of related techniques, statement of the main problem, novelty of the proposed approach and its fields of application. Chapter 2 surveys related work in the area of dynamic scene reconstruction by shape from silhouette and shape from photo-consistency. The focus lies on high performance reconstruction and hardware-acceleration. Chapter 3 introduces the theoretical basis for the proposed [...]
