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1 - 10 of 10
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Recovering surface layout from an image Hoiem D., Efros A., Hebert M. International Journal of Computer Vision 75(1): 151-172, 2007. Type: Article
Image understanding, the ultimate goal of computer vision, needs a representation of the scene that includes objects and their relations. Traditional approaches to three-dimensional (3D) scene recovery try to obtain a nearly exact geom...
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Jul 10 2008 |
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Gait recognition for human identification based on ICA and fuzzy SVM through multiple views fusion Lu J., Zhang E. Pattern Recognition Letters 28(16): 2401-2411, 2007. Type: Article
Through biometrics, video cameras watch over us and computers can automatically identify us using metrics for human physiology--such as face, fingerprints, iris, and hand geometry--and also metrics for human behavior....
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Jun 2 2008 |
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Xface open source project and SMIL-agent scripting language for creating and animating embodied conversational agents Balci K., Not E., Zancanaro M., Pianesi F. Multimedia (Proceedings of the 15th International Conference on Multimedia, Augsburg, Germany, Sep 24-29, 2007) 1013-1016, 2007. Type: Proceedings
A new trend continues to populate the planet, particularly through cyberspace: virtual humanoids, which are also found under such names as avatars, conversational agents, and talking heads. H-Anim and the MPEG-4 ISO stan...
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Jan 23 2008 |
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Hybrid object labelling in digital images Martín-Herrero J. Machine Vision and Applications 18(1): 1-15, 2007. Type: Article
Labelling is a computer-vision task that identifies all the connected pixels of an object with the same label. It is often followed by the feature extraction, characterization, for the further classification of objects....
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Dec 21 2007 |
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Estimating optimal parameters for MRF stereo from a single image pair Zhang L., Seitz S. IEEE Transactions on Pattern Analysis and Machine Intelligence 29(2): 331-342, 2007. Type: Article
The correspondence problem in stereo vision involves obtaining a disparity map, which represents the differences between the positions of matching pixels in two stereo images. Markov random fields (MRFs) are widely used to model vision...
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Jun 20 2007 |
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Reality augmentation for medical procedures: system architecture, single camera marker tracking, and system evaluation Vogt S., Khamene A., Sauer F. International Journal of Computer Vision 70(2): 179-190, 2006. Type: Article
Just imagine the following scene: the patient lies on the examining table and becomes transparent to the eyes of the surgeon, who sees the results of the last magnetic resonance image mapped on the patient’s body. Science fic...
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Jan 30 2007 |
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Interactive 3D terrain exploration and visualization Smullen S., Clinton W I., Santa C. ACM southeast regional conference (Proceedings of the 43rd Annual Southeast Regional Conference, Kennesaw, Georgia, Mar 18-20, 2005) 393-396, 2005. Type: Proceedings
Terrain rendering is used in a broad range of applications, such as simulations, games, education, and virtual reality. Besides commercial programs, there are, fortunately, many noncommercial open-source solutions available for terrain...
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Dec 28 2006 |
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Multimodal interaction with a wearable augmented reality system Koelsch M., Bane R., Hoellerer T., Turk M. IEEE Computer Graphics and Applications 26(3): 62-71, 2006. Type: Article
In augmented reality (AR) applications, the user experiences reality mixed with some kind of synthetic information, and in some cases, even has freedom of movement. This kind of application needs a natural way to interact that common i...
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Nov 29 2006 |
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How effective are landmarks and their geometry for face recognition? Shi J., Samal A., Marx D. Computer Vision and Image Understanding 102(2): 117-133, 2006. Type: Article
Determining whether an unknown face belongs to a gallery of faces is known as face recognition. To solve this problem, both a face model and a measure of similarity between faces are needed. To model faces, we can mainly distinguish tw...
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Oct 3 2006 |
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Fast and reliable collision culling using graphics hardware Govindaraju N., Lin M., Manocha D. IEEE Transactions on Visualization and Computer Graphics 12(2): 143-154, 2006. Type: Article
The algorithms to detect collisions in a three-dimensional (3D) world can be classified as follows: image-space culling algorithms based on graphical processing unit (GPU) calculations, which take advantage of the runtime performance o...
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Aug 11 2006 |
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