In this paper we discuss the application of multiple linked views for advanced vortex investigation in flow data. Local feature detectors and additional measures integrate into an interactive flow feature detection sy...
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ISBN:
(纸本)9780769529035;0769529038
In this paper we discuss the application of multiple linked views for advanced vortex investigation in flow data. Local feature detectors and additional measures integrate into an interactive flow feature detection system based on multiple linked views. We discuss how linking and brushing of derived feature information can lead to increased performance in interactive feature analysis. In a case study we demonstrate how the possibility to integrate the information of multiple detectors leads to sound understanding of vortex type features. Enhanced credibility and combined advantages of several detectors can be achieved by uniting the results of multiple feature detectors in multiple coordinated views.
Dense clinical data like 3D Computed Tomography (CT) scans can be visualized together with real-time imaging for a number of medical intervention applications. However, it is difficult to provide a fused visualization...
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This paper presents a first prototype of an interactive 3D reconstruction system for modeling urban scenes. An augmented reality scout is a person who is equipped with an ultra-mobile PC, an attached USB camera and a ...
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This paper presents a first prototype of an interactive 3D reconstruction system for modeling urban scenes. An augmented reality scout is a person who is equipped with an ultra-mobile PC, an attached USB camera and a GPS receiver. The scout is exploring the urban environment and delivers a sequence of 2D images. These images are annotated with according GPS data and used iteratively as input for a 3D reconstruction engine which generates the 3D models on-the-fly. This turns modeling into an interactive and collaborative task
Historically, visual display has always played a very important role in GIS applications. However, visual exploration tools do not scale well when applied to huge spatial data sets. More recently, faster processing ha...
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ISBN:
(纸本)9788517000362
Historically, visual display has always played a very important role in GIS applications. However, visual exploration tools do not scale well when applied to huge spatial data sets. More recently, faster processing hardware and more sophisticated computergraphics has been used to improve user experience for geospatial data visualization. Some applications have recently introduced the concept that the user should be able to navigate through the data in a smooth and continuous way without being blocked waiting for data to be loaded, even if this means seeing incomplete data for some time. Google Earth and NASA World Wind are recent examples of this concept. This paper describes an architecture incorporated in the TDK (TerraLib Development Kit) open source API to provide support for applications that want this kind of user interaction with Terralib geographical data.
We present a system to measure geometric properties (e.g., volume, surface area, and contact area) of the cartilage layer in human ankle joints. The cartilage and subchondral bone surfaces are sampled with a stereopho...
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In this paper we introduce a watermarking arithmetic for certificate identifying. The arithmetic is based on the FMT transformation. We insert special information in the digital photograph of the certificate and study...
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ISBN:
(纸本)9780769529943;0769529941
In this paper we introduce a watermarking arithmetic for certificate identifying. The arithmetic is based on the FMT transformation. We insert special information in the digital photograph of the certificate and study on it after printing and scanning. The relationship of printing resolution, scanning resolution and the image is discussed, which effects the scheme's efficiency. The experiments show that the watermarking algorithm is robust to printing and scanning. Some preprocess is needed before extracting watermark, such as cropping and resizing the print-scan photographic image.
Internationally organised large-scaled events often cause an overload of the host city's public transportation network as the number of people who use the network increases immensely within a relative small timesp...
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Internationally organised large-scaled events often cause an overload of the host city's public transportation network as the number of people who use the network increases immensely within a relative small timespan and their flow is concentrated to one direction in the network. To efficiently and individually route participants to the events' location using public transport we would like to provide each individual with the quickest path on a network whose attributes constantly change over time. In this paper we give a formal description of this problem, review related work, discuss to what extent they can be used to solve the problem efficiently and finally introduce our approach.
Recent results on stereo indicate that an accurate segmentation is crucial for obtaining faithful depth maps. Variational methods have successfully been applied to both image segmentation and computational stereo. In ...
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Recent results on stereo indicate that an accurate segmentation is crucial for obtaining faithful depth maps. Variational methods have successfully been applied to both image segmentation and computational stereo. In this paper we propose a combination in a unified framework. In particular, we use a Mumford-Shah-like functional to compute a piecewise smooth depth map of a stereo pair. Our approach has two novel features: First, the regularization term of the functional combines edge information obtained from the color segmentation with flow-driven depth discontinuities emerging during the optimization procedure. Second, we propose a robust data term which adoptively selects the best matches obtained from different weak stereo algorithms. We integrate these features in a theoretically consistent framework. The final depth map is the minimizer of the energy functional, which can be solved by the associated functional derivatives. The underlying numerical scheme allows an efficient implementation on modern graphics hardware. We illustrate the performance of our algorithm using the Middlebury database as well as on real imagery.
We present SMILE ™ (Science and Math in an Immersive Learning Environment) an immersive game in which deaf and hearing children ages 5-10 learn math and science concepts and ASL (American Sign Language) terminology th...
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We present SMILE ™ (Science and Math in an Immersive Learning Environment) an immersive game in which deaf and hearing children ages 5-10 learn math and science concepts and ASL (American Sign Language) terminology through interaction with animated 3D characters and objects. The application can be displayed in stationary, four-wall immersive devices (i.e., the FLEX), Fish Tank VR systems, and non-immersive standard computer systems. Users interact with the program choosing from a variety of input devices including a 6DOF wand, a pinch glove, a data glove, a dance platform, or standard mouse and keyboard.
People tracking is of fundamental importance in multi-camera surveillance systems. In recent years, many approaches for multi-camera tracking have been discussed. Most methods use either various image features or the ...
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People tracking is of fundamental importance in multi-camera surveillance systems. In recent years, many approaches for multi-camera tracking have been discussed. Most methods use either various image features or the geometric relation between the cameras or both as a cue. It is a desire to know the geometry for distant cameras, because geometry is not influenced by, for example, drastic changes in object appearance or in scene illumination. However, the determination of the camera geometry is cumbersome. The paper tries to solve this problem and contributes in two different ways. On the one hand, an approach is presented that calibrates two distant cameras automatically. We continue previous work and focus especially on the calibration of the extrinsic parameters. Point correspondences are used for this task which are acquired by detecting points on top of people's heads. On the other hand, qualitative experimental results with the PETS 2006 benchmark data show that the self-calibration is accurate enough for a solely geometric tracking of people across distant cameras. Reliable features for a matching are hardly available in such cases.
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