this paper presents a method for generating high dynamic range and disparity images by simultaneously capturing the high and low exposure images using a pair of cameras. the proposed stereoscopic high dynamic range im...
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this paper presents a method for generating high dynamic range and disparity images by simultaneously capturing the high and low exposure images using a pair of cameras. the proposed stereoscopic high dynamic range imaging technique is able to record multiple exposures without any time delay, and thus suitable for high dynamic range video synthesis. We have demonstrated that it is possible to construct the camera response function using a pair of images with different amount of exposure. the intensities of the stereo images can then be normalized for correspondence matching. Experiments using the Middlebury stereo datasets are presented.
graphics systems use many advanced techniques that enable to model and visualize a virtual scene with varying level of realism. Unfortunately, rendering algorithms significantly differ in the way how they process a vi...
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ISBN:
(纸本)9788086943152
graphics systems use many advanced techniques that enable to model and visualize a virtual scene with varying level of realism. Unfortunately, rendering algorithms significantly differ in the way how they process a virtual scene. Concrete implementations therefore usually lead to monolithic solutions. In this paper we propose the concept of a component-based scene graph, i.e. an independent scene graph, which can be used by many rendering strategies simultaneously and, moreover, which can be easily replaced with another implementation.
In recent years many experimental specialists have carried out analysis of some pictures to test if they are authentic works of art. this work can help expert people to authenticate that kind of pictures. this paper d...
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ISBN:
(纸本)9788086943152
In recent years many experimental specialists have carried out analysis of some pictures to test if they are authentic works of art. this work can help expert people to authenticate that kind of pictures. this paper describes the development of a fully-automated computerized analysis system of Goya's pictures, which enables to locate some small prints (graphisms) in Goya's authentic work. the proposed methodology works on four steps: digital image acquisition on gray level, segmentation, pattern recognition and localization of small prints in the picture. the outcome of the process is the location of some small prints (graphisms) if the input digital image is a Goya's picture. An artificial backpropagation neural network is used to say if graphism segmented is a Goya's small print or no.
Biometric authentication systems are usually based on features extraction. Features are a collection of measurable details, obtained from the biometric trait that defines the identity of a certain person. this collect...
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ISBN:
(纸本)9788086943152
Biometric authentication systems are usually based on features extraction. Features are a collection of measurable details, obtained from the biometric trait that defines the identity of a certain person. this collection of data is known as template, and it's stored in the database. the acquired biometrics quality must be controlled in order to model the identity of the individual in a unique and distinct way. the creation and update of templates is a critical task for the correct use of a biometric application. In this paper we propose the implementation of a model that, using biometric-independent tools, intends to update, select and improve the templates stored in the database, in what we have called "adaptive biometric templates". It has been tested with a fingerprint biometric database of 60 users. We have obtained an average improvement over traditional templates of 26% for FMR and of 53% for FNMR, we consider these results very successful.
the paper presents a new approach in defining (and detecting, as an additional option) local features that can be used for matching images and/or visual information retrieval. the method is based on the moment-based p...
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ISBN:
(纸本)9788086943152
the paper presents a new approach in defining (and detecting, as an additional option) local features that can be used for matching images and/or visual information retrieval. the method is based on the moment-based pattern detectors presented in previous papers. the proposed local features (preliminarily called keypatches) are obtained by approximating circular windows located at keypoints pre-detected using any typical detector with a selection of geometric patterns. At each keypoint, the optimum approximations (for all available patterns) of the window are computed using moment-based equations. For any approximation, its similarity to the actual window content is estimated. the keypatch is defined if a sufficiently accurate approximation exists. Keypoints where the window cannot be approximated withthe sufficient accuracy are ignored. If no pre-detector of keypoints is available, the method itself can find the initial locations of the keypoints. the proposed approach is suitable for both grey-level and colour images (though the latter are only briefly discussed in the paper). Exemplary results explaining the method and illustrating its performances are included and discussed.
A method of optimal fuzzy aggregation of secondary attributes in problems of recognizing a person from images is proposed. the primary attribute is a characteristic feature of an object, allowing to distinguish one ob...
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ISBN:
(纸本)9788086943169
A method of optimal fuzzy aggregation of secondary attributes in problems of recognizing a person from images is proposed. the primary attribute is a characteristic feature of an object, allowing to distinguish one object from another. the secondary attribute is a result of recognition algorithm, based on primary attributes. Fuzzy integrals of Sugeno and Choquet are used as aggregation operators of secondary attributes. Optimality of aggregation here stands for the selection of the best solution of recognition problem by means of fuzzy integrals. It also indicates conditions, when the use of Sugeno fuzzy integral as an aggregation operator is better than the use of Choquet fuzzy integral in recognition problems. the experiment results are presented.
Evolution of user interfaces shapes the change in the human-computer interaction. With rapid emerge of three-dimensional (3-D) applications, the need for a new type of interaction device arises since traditional devic...
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ISBN:
(纸本)9788086943169
Evolution of user interfaces shapes the change in the human-computer interaction. With rapid emerge of three-dimensional (3-D) applications, the need for a new type of interaction device arises since traditional devices such as mouse, keyboard, and joystick become inefficient for interaction within these virtual environments. A better interaction in virtual environments requires a natural and suitable device. "Hand Gesture" concept in human computer interaction which has become popular in recent years can be used to develop such an interaction device. this study reports the development of a real-time, low cost, vision based hand gesture recognition system that works precisely on a relatively small restricted gesture space for single user robot control and human-computer interaction in such an environment that the lighting is relatively stable and the background is not complex.
We present an adoption of the bucket sort algorithm capable of running entirely on GPU architecture. Our implementation employs render-to-texture to enable scatter operation. Linked lists of elements in each bucket ar...
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ISBN:
(纸本)9788086943145
We present an adoption of the bucket sort algorithm capable of running entirely on GPU architecture. Our implementation employs render-to-texture to enable scatter operation. Linked lists of elements in each bucket are build and stored directly in video memory. We show also the use of this sorting method in a particle-based simulation. Dissipative Particle Dynamics is the physical model of choice;the simulation is performed entirely on the graphics hardware. GPU bucket sorting is used to build nearest-neighbour maps on a regular cell-grid which are the input of interparticle interaction computation. Finally we implement a simple random-number generator which is required by the DPD method.
In this demo, we present a family photo album based cartoon personalization system, EasyToon. Using the family photo album as the candidate pool, a personalized cartoon image is obtained in two main steps. First, the ...
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ISBN:
(纸本)9781605583037
In this demo, we present a family photo album based cartoon personalization system, EasyToon. Using the family photo album as the candidate pool, a personalized cartoon image is obtained in two main steps. First, the best face candidate is selected from the album interactively. then a personalized cartoon image is automatically synthesized by blending the selected face into the target cartoon image. By integrating state of the art computervision and graphics technologies and effective UI design EasyToon can generate a personalized cartoon storyboard easily and quickly.
Plastic surgery plays a major role in today health care. Planning plastic face surgery requires dealing withthe elusive concept of attractiveness for evaluating feasible beautification of a particular face. the exist...
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ISBN:
(纸本)9788086943169
Plastic surgery plays a major role in today health care. Planning plastic face surgery requires dealing withthe elusive concept of attractiveness for evaluating feasible beautification of a particular face. the existing computer tools essentially allow to manually warp 2D images or 3D face scans, in order to produce images simulating possible surgery outcomes. How to manipulate faces, as well as the evaluation of the results, are left to the surgeons judgement. We propose a new quantitative approach able to automatically suggest effective patient-specific improvements of facial attractiveness. the general idea is to compare the face of the patient with a large database of attractive faces, excluding the facial feature to be improved. then, the feature of the faces more similar is applied, with a suitable morphing, to the face of the patient. In this paper we present a first application of the general idea in the field of nose surgery. Aesthetically effective rhinoplasty is suggested on the base of the entire face profile, a very important 2D feature for rating face attractiveness.
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