During the computer graphics Technology (CGT) Departmental accreditation review at Purdue University, it was suggested that the CGT Department enhance its interaction with the student body and community. CGT :prepares...
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ISBN:
(纸本)9781424410835
During the computer graphics Technology (CGT) Departmental accreditation review at Purdue University, it was suggested that the CGT Department enhance its interaction with the student body and community. CGT :prepares visually oriented students for careers in creating and managing the production of computer graphics within a wide range of industries. A part of this initiative has been to take the existing Spring Show, Spring Banquet, Industrial Advisory Board (IAB) meeting, and CGT 411 senior capstone presentations and merge them into what will become a larger CGT Conference. The Spring Show is a gallery and showcase of student work in the area of computer graphics, while the Spring Banquet is an event with a keynote speaker held to honor students and faculty for their achievements during the academic year. CGT 411 is a group based capstone course that attempts to identify, design, qualify, manage, create and present a final project relative to existing or emerging issues within the discipline. The CGT Conference will serve as a showcase of student talent, emerging technologies, and myriad other facets of computer graphics as they apply to Purdue University, the CGT department, and the computer graphics industry. Potential participation was evaluated via surveys.
The object of this work is to implement and test ray marching algorithm in graphical library JaGrLib. Through the use of this algorithm, we will be able to render hypertextures - objects with very complex surface or w...
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The object of this work is to implement and test ray marching algorithm in graphical library JaGrLib. Through the use of this algorithm, we will be able to render hypertextures - objects with very complex surface or with not well defined boundary surface. In this project we will make use of already implemented ray tracing algorithm, which we will extend to the march method. Ray marching will be tested on soft objects and the functions used to create hypertextures will be defined by noise and fractal functions.
TITLE: Analysis of graphics editors ABSTRACT: The aim of the diploma work is to compare and evaluate mainly free raster and vector editors and viewers (photo file managers) which could be used at the environment of pr...
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TITLE: Analysis of graphics editors ABSTRACT: The aim of the diploma work is to compare and evaluate mainly free raster and vector editors and viewers (photo file managers) which could be used at the environment of primary and secondary schools. In the opening part of the work there are briefly mentioned real possibilities of using graphics applications at schools. Separate analyses of all programmes are described in following parts. The analyses deal with features of the programmes, hardware requirements and usability. The comparisons should offer enough general information for choosing the correct software. The important part of the work is the research and its three questionnaire investigations. Their results demonstrate real usage of graphic software among informants from all of the Czech Republic. KEYWORDS: computer graphics, graphics editors, analysis, questionnaire investigation
This work introduces a method for optimal combination of light paths generated from the camera and from the light sources in the Photon Mapping algorithm used for computing global illumination. Our method is based on ...
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This work introduces a method for optimal combination of light paths generated from the camera and from the light sources in the Photon Mapping algorithm used for computing global illumination. Our method is based on Multiple Importance Sampling, a general approach, introduced by Veach, for adaptive path connection in Bidirectional Path-Tracing. Our goal is to examine this method in connection with the biased algorithm of Photon Mapping and to improve the ineffective heuristic used in the original version of this algorithm. This heuristic is usually problematic when applied to the scenes where highly glossy materials prevail.
computer graphics programmes in Europe have been working to address the requirements of the Bologna education process. This poster presents the results of a workshop held in Vienna, Austria in September 2006 that deve...
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ISBN:
(纸本)9781595936103
computer graphics programmes in Europe have been working to address the requirements of the Bologna education process. This poster presents the results of a workshop held in Vienna, Austria in September 2006 that developed an outline for computer graphics curricula to meet those requirements.
We have Department of Applied Informatics on our Faculty of Applied Informatics Thomas Bata University in Zlin. The education of computer graphics proceeds some years at here. The frequent problem is to practically un...
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ISBN:
(纸本)9783901509582
We have Department of Applied Informatics on our Faculty of Applied Informatics Thomas Bata University in Zlin. The education of computer graphics proceeds some years at here. The frequent problem is to practically understand theory graphics principles. The education needs to be very objective and understandable. In 3D graphics we use program Blender (look at ***). Blender is the open source software for 3D modeling, animation, rendering, post-production, interactive and plugins creation and playback. It is available for all major operating systems under the GNU General Public License. In this paper there will be described the Blender environment and connection its scene with the program (plugins) creation. This connection helps to increase the objective of the education.
We presented a set of physics motivated features for classifying photographic and computer graphic images in our previous work [1]. We also deployed an online demo system for distinguishing photographic and computer g...
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ISBN:
(纸本)9781424412259
We presented a set of physics motivated features for classifying photographic and computer graphic images in our previous work [1]. We also deployed an online demo system for distinguishing photographic and computer graphic images in October 2005 [21, which features our geometry classifier, together with the wavelet classifier, and the cartoon classifier. On the first anniversary of its launch, we have received 1582 submitted images, through which we perform an analysis on the user behavior, the image set characteristics, and the classifier performance. We observe that online users do not provide clear judgments for about 80% of the submitted images, confirming the challenge in distinguishing photo-realistic computer graphics images from natural photographs. We also found the accuracy of our classifiers over the online submission set is consistent with that computed over an offline data set. Finally, in order to improve the online computational speed of our classifier, we perform feature selection and reduction, cutting the response time from 152 seconds to 24 seconds per image, while keeping the accuracy almost unchanged.
This paper presents a new randomized algorithm for quickly finding approximate nearest neighbor matches between image patches. Our algorithm offers substantial performance improvements over the previous state of the a...
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This paper presents a new randomized algorithm for quickly finding approximate nearest neighbor matches between image patches. Our algorithm offers substantial performance improvements over the previous state of the art (20-100x), enabling its use in new interactive image editing tools, computer vision, and video applications. Previously, the cost of computing such matches for an entire image had eluded efforts to provide interactive performance. The key insight driving our algorithm is that the elements of our search domain-patches of image pixels-are correlated, and thus the search strategy takes advantage of these statistics. Our algorithm uses two principles: first, that good patch matches can be found via random sampling, and second, that natural coherence in the imagery allows us to propagate such matches quickly to surrounding areas. Our simple algorithm allows finding a single nearest neighbor match across translations only, whereas our general algorithm additionally allows matching of k-nearest neighbors, across all rotations and scales, and matching arbitrary descriptors. This one simple algorithm forms the basis for a variety of applications including image retargeting, completion, reshuffling, object detection, digital forgery detection, and video summarization.
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