the proceedings contain 99 papers. the topics discussed include: robust watermarking scheme based on multiresolution fractional Fourier transform;an adaptive clustering based non-linear filter for the restoration of i...
ISBN:
(纸本)9780769534763
the proceedings contain 99 papers. the topics discussed include: robust watermarking scheme based on multiresolution fractional Fourier transform;an adaptive clustering based non-linear filter for the restoration of impulse corrupted digital images;visibility cuts: a system for rendering dynamic virtual environments;multi-scale method for adaptive mesh editing based on rigidity estimation;automatic perspective camera calibration based on an incomplete set of chessboard markers;an algebraic framework for discrete basis functions in computervision;regularization of incompletely, irregularly and randomly sampled data;fast and secure real-time video encryption;quantization based data hiding scheme for efficient quality access control of images using DWT via lifting;document image segmentation as a spectral partitioning problem;integrated detect-track framework for multi-view face detection in video;and a framework for analysis of surveillance videos.
Photonic mixer devices (PMDs) are able to create reliable depth maps of indoor environments. Yet, their application in mobile robotics, especially in simultaneous localization and mapping (SLAM) applications, is hampe...
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ISBN:
(纸本)9781424478149
Photonic mixer devices (PMDs) are able to create reliable depth maps of indoor environments. Yet, their application in mobile robotics, especially in simultaneous localization and mapping (SLAM) applications, is hampered by the limited field of view. Enhancing the field of view by optical devices is not trivial, because the active light source and the sensor rays need to be redirected in a defined manner. In this work we propose an omnidirectional PMD sensor which is well suited for indoor SLAM and easy to calibrate. Using a single sensor and multiple planar mirrors, we are able to reliably navigate in indoor environments to create geometrically consistent maps, even on optically difficult surfaces.
Liver segmentation on computed tomography (CT) images is a challenging task due to the anatomic complexity and the imaging system noises. In this paper a complex algorithm based on active contour is proposed to automa...
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ISBN:
(纸本)9781424437009
Liver segmentation on computed tomography (CT) images is a challenging task due to the anatomic complexity and the imaging system noises. In this paper a complex algorithm based on active contour is proposed to automatically extract the liver region in abdominal CT images. Combined withthreshold segmentation, morphology imageprocessing and active contour models, we can automatically extract the initial contour and segment the liver slice by slice, Experimental results show that the proposed method gives automatic and accurate liver structure segmentation.
We develop Lavatube as a software framework for efficient research, development, and education. Lavatube is an object-oriented framework optimized for constructing a computervision system, particularly a video and im...
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ISBN:
(纸本)9784901122092
We develop Lavatube as a software framework for efficient research, development, and education. Lavatube is an object-oriented framework optimized for constructing a computervision system, particularly a video and imageprocessing system. Lavatube enables a description of a processing extension by combining various functional components. Since the data flow is easy to describe by graph-connecting icons on a GUI, a system can be created intuitively. the standard support of input from a USB camera and various video files makes complicated work or knowledge unnecessary. For efficient and clear-cut system construction, Lavatube also provides functions for the dynamic generation of parameter setting dialog boxes and for perpetuation by XML. Some actual video processing cases as examples are also introduced.
computervision algorithms are currently developed by looking up the available operators from the literature and then arranging those operators such that the desired task is performed. this is often a tedious process ...
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ISBN:
(纸本)9783642046964
computervision algorithms are currently developed by looking up the available operators from the literature and then arranging those operators such that the desired task is performed. this is often a tedious process which also involves testing the algorithm with different lighting conditions or at different sites. We have developed a system for the automatic generation of computervision algorithms at interactive frame rates using CPU accelerated imageprocessing. the user simply tells the system which object should be detected in an image sequence. Simulated evolution, in particular Genetic Programming, is used to automatically generate and test alternative computervision algorithms. Only the best algorithms survive and eventually provide a solution to the user's imageprocessing task.
this talk deals with some fundamental aspects of biometrics and its applications. It basically includes the following subtopics: (1) Overvievv of Biometric Technology and Applications (2) Importance of Security: A Sce...
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ISBN:
(纸本)9789898111678
this talk deals with some fundamental aspects of biometrics and its applications. It basically includes the following subtopics: (1) Overvievv of Biometric Technology and Applications (2) Importance of Security: A Scenario of Terrorists Attack, (3) What are Biometric Technologies?, (4) Biometrics: Analysis vs Synthesis.(5) Analysis: Interactive Pattern Recognition Concept, (6) Concept of "Semantics" and "Ambiguitv", their Importance and Applications, (7)computervision (3D) and imageprocessing (2D), (8) imageprocessing & computergraphicsas Reverse Process, (9) thermal ImagingRecognition. (10) Synthesis in biometrics, (11) Modeling and Simulation, and (12) more Examples and Applications in Interactive Environment.
We investigate compression of remote sensing images with a special geometry of non-square pixels. Two fundamentally different data, reduction strategies are compared: a combination of pixel binning with near lossless ...
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ISBN:
(纸本)9783642046964
We investigate compression of remote sensing images with a special geometry of non-square pixels. Two fundamentally different data, reduction strategies are compared: a combination of pixel binning with near lossless compression and a method operating at higher compression rates. To measure the real impact of the compression, the imageprocessing flow upto final products is included in the experiments. the effects on sensor non-uniformities and their corrections are explicitly modeled and measured. We conclude that it is preferable to apply higher compression rates than to rely on pixel binning, even if the derived images have lower resolutions.
the similarity measure based nearest neighbour classifier is commonly used in object recognition or retrieval systems. the result of a query in such a system is in general the images from the database whose descriptor...
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ISBN:
(纸本)9784901122092
the similarity measure based nearest neighbour classifier is commonly used in object recognition or retrieval systems. the result of a query in such a system is in general the images from the database whose descriptors are closest to the descriptor of the query image. An important issue in large scale recognition systems is the computational burden caused by measuring the similarity of the features derived from the query image withthe templates of the database objects. Hierarchical Agglomerative Clustering (HAC) algorithms are considered as a solution to this problem. In these algorithms, a dendrogram is formed down to top in the training stage. In the recognition phase, the query image moves on the dendrogram from the highest level to lower levels in order to find the best matched object. One of the most affecting issues in these algorithms is the strategy used for building the dendrogram. In this paper, different techniques adopted for this purpose are studied and compared within the framework of a face recognition system. Our experimental results demonstrate that using an appropriate merging technique, the average recognition time reduces while the performance of the system is not highly degraded.
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