Model-based reconstruction methods are applied to the detailed reconstruction of buildings from close-range images. The 3D points obtained through image matching are segmented into a coarse polyhedral model with a rob...
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Model-based reconstruction methods are applied to the detailed reconstruction of buildings from close-range images. The 3D points obtained through image matching are segmented into a coarse polyhedral model with a robust regression algorithm, then the geometry of this model is refined with predefined shape templates in order to automatically recover a CAD-like model of the building surface. Reprojection of the 3D shape templates is used to optimally fit their parameters to the image information. Throughout the paper the investigated methods are demonstrated on real datasets.
Traditional volume visualization techniques may provide incomplete clinical information needed for applications in medical visualization. In the area of vascular visualization important features such as the lumen of a...
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Traditional volume visualization techniques may provide incomplete clinical information needed for applications in medical visualization. In the area of vascular visualization important features such as the lumen of a diseased vessel segment may not be visible. Curved planar reformation (CPR) has proven to be an acceptable practical solution. Existing CPR techniques, however, still have diagnostically relevant limitations. In this paper, we introduce two advances methods for efficient vessel visualization, based on the concept of CPR. Both methods benefit from relaxation of spatial coherence in favor of improved feature perception. We present a new technique to visualize the interior of a vessel in a single image. A vessel is resampled along a spiral around its central axis. The helical spiral depicts the vessel volume. Furthermore, a method to display an entire vascular tree without mutually occluding vessels is presented. Minimal rotations at the bifurcations avoid occlusions. For each viewing direction the entire vessel structure is visible.
computer assisted operation planning systems win more and more recognition in the field of surgery. These systems offer new possibilities to prepare an intervention with the goal to shorten the expansive time in the o...
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computer assisted operation planning systems win more and more recognition in the field of surgery. These systems offer new possibilities to prepare an intervention with the goal to shorten the expansive time in the operation room required for the intervention. The safest and most effective surgical approach should be selected. But often, it is difficult to transfer the output of the planning system to the intra-operative situation and so to consider the planning results in the real intervention. At the Fraunhofer Institute for computergraphics (IGD) in Darmstadt and the Centre for Advanced Media technology (CAMTech) in Singapore, methods are developed to bridge the gap between the external planning session and the intra-operative case: augmented reality (AR) techniques are used to overlap preoperative scanned image data as well as results of the planning session to the operation field.
In this paper we discuss a case study for which we applied a customized augmented reality display -the Virtual Showcase- as a new platform for digital storytelling. Different storytelling components are identified and...
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ISBN:
(纸本)9781581136869
In this paper we discuss a case study for which we applied a customized augmented reality display -the Virtual Showcase- as a new platform for digital storytelling. Different storytelling components are identified and examples for their specific realization are explained. Our case study focuses on communicating scientific information to a novice audience in a museum context. Addressing first user feedback, we describe our current efforts of improvement.
作者:
Grauman, K.Betke, M.Lombardi, J.Gips, J.Bradski, G.R.Vision Interface Group
AI Laboratory Massachusetts Institute of Technology 77 Massachusetts Avenue CambridgeMA02139 United States Computer Science Department
Boston University 111 Cummington St BostonMA02215 United States EagleEyes
Computer Science Department Boston College Fulton Hall Chestnut HillMA02467 United States Vision
Graphics and Pattern Recognition Microcomputer Research Laboratory Intel Corporation SC12-303 2200 Mission College Blvd Santa ClaraCA95054-1537 United States
Two video-based human-computer interaction tools are introduced that can activate a binary switch and issue a selection command. "BlinkLink," as the first tool is called, automatically detects a user's e...
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The quality of volume visualization depends strongly on the quality of the underlying data. In virtual colonoscopy, CT data should be acquired at a low radiation dose that results in a low signal-to-noise ratio. Alter...
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The quality of volume visualization depends strongly on the quality of the underlying data. In virtual colonoscopy, CT data should be acquired at a low radiation dose that results in a low signal-to-noise ratio. Alternatively, MRI data is acquired without ionizing radiation, but suffers from noise and bias (global signal fluctuations). Current volume visualization techniques often do not produce good results with noisy or biased data. This paper describes methods for volume visualization that deal with these imperfections. The techniques are based on specially adapted edge detectors using first and second order derivative filters. The filtering is integrated into the visualization process. The first order derivative method results in good quality images but suffers from localization bias. The second order method has better surface localization, especially in highly curved areas. It guarantees minimal detail smoothing resulting in a better visualization of polyps.
The design of a test response compactor called a Block Compactor is given. Block Compactors belong to a new class of compactors called Finite Memory Compactors. Different from space compactors, finite memory compactor...
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ISBN:
(纸本)9781581137620
The design of a test response compactor called a Block Compactor is given. Block Compactors belong to a new class of compactors called Finite Memory Compactors. Different from space compactors, finite memory compactors contain memory elements. Also unlike time compactors, finite memory compactors have finite impulse response. These properties give finite memory compactors the ability to achieve higher compaction ratios than space compactors and still be able to tolerate unknown values in test responses. The proposed Block Compactors, as an instance of finite memory compactors generate a signature of response data in several scan cycles. Results presented on several industrial designs show that Block Compactors provide better test quality and higher data compaction than earlier works on test response compactors.
In this paper we describe a surveillance system that is not only able to detect blobs and track them but also determines if a blob is a person. The given blob is segmented into sub-regions. A person model is fit to th...
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In this paper we describe a surveillance system that is not only able to detect blobs and track them but also determines if a blob is a person. The given blob is segmented into sub-regions. A person model is fit to these regions such that a likelihood measure is maximized. The likelihood measure depends on the number of identified body parts, their length, location, and aspect ratio. The method is translation, rotation, and scale invariant and computationally efficient. The results obtained for test video sequences are very encouraging.
Despite extensive research and rapid increase of computing power, free-form object matching still remains a challenging problem in CAD/CAM areas. In this paper, various object features are discussed, and matching meth...
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Despite extensive research and rapid increase of computing power, free-form object matching still remains a challenging problem in CAD/CAM areas. In this paper, various object features are discussed, and matching methods which use these features are introduced along with robust computational algorithms for umbilical points and intrinsic wireframes. The similarity of matched objects is assessed with three proposed tests. Each algorithm is demonstrated with examples.
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