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Browse All Reviews > Computing Methodologies (I) > Artificial Intelligence (I.2) > Vision And Scene Understanding (I.2.10) > Modeling And Recovery Of Physical Attributes (I.2.10...)
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1-10 of 26
Reviews about "Modeling And Recovery Of Physical Attributes (I.2.10...)":
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Automated annotations for AI data and model transparency
Thirumuruganathan S., Kunjir M., Ouzzani M., Chawla S. Journal of Data and Information Quality 14(1): 1-9, 2022. Type: Article
Individuals, organizations, and signals from automatic devices produce enormous amounts of heterogenous data. Data lakes for storage needs are suffice. Beyond storing, the quick deployment of enterprise private data also requires fast analysis. Bu...
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Mar 1 2023 |
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Vehicle surveillance with a generic, adaptive, 3D vehicle model
Leotta M., Mundy J. IEEE Transactions on Pattern Analysis and Machine Intelligence 33(7): 1457-1469, 2011. Type: Article
The real world and the virtual world are generally considered to be two separate worlds. Leotta and Mundy, however, have changed that. In their paper, they present an approach to track vehicles in surveillance videos based on a virtual...
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Dec 1 2011 |
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An eye localization, tracking and blink pattern recognition system: algorithm and evaluation
Wu J., Trivedi M. ACM Transactions on Multimedia Computing, Communications, and Applications 6(2): 1-23, 2010. Type: Article
The identification of blink patterns can be applied in several cases, such as determining a subject’s attentiveness, drowsiness, and consciousness. Several approaches have been proposed for this purpose. They involve three ke...
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Jul 6 2010 |
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On the foundations of vision modeling III. Noncommutative monoids of occlusive preimages
Shen J. Journal of Mathematical Imaging and Vision 24(1): 5-17, 2006. Type: Article
Successful navigation in a three-dimensional (3D) world requires that two-dimensional (2D) retinal images be interpreted to represent a 3D space. This paper introduces a formalism for modeling the occlusion mechanism by which such 2D i...
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Jan 3 2007 |
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Temporal scenario modelling and recognition based on possibilistic logic
Grabisch M. Artificial Intelligence 148(1-2): 261-289, 2003. Type: Article
This paper presents a method for modeling temporal scenarios, and for recognizing them from observations. Three formal models are developed: the logical dependencies, defined in possibilistic logic; the temporal constraints between eve...
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Dec 15 2003 |
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LUT and multilevel Brownian Retinex colour correction
Rizzi A., Marini D., De Carli L. Machine Graphics & Vision International Journal 11(2/3): 153-168, 2002. Type: Article
It is well known that significant differences exist between a digital reproduction of a scene, and the perception of the same real scene by a human observer. These differences are mainly due to the color constancy property of the human...
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Jun 4 2003 |
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Image-based rendering of diffuse, specular and glossy surfaces from a single image
Boivin S., Gagalowicz A. Computer graphics and interactive techniques (Proceedings of the 28th annual conference,107-116, 2001. Type: Proceedings
This paper is at the boundary of computer graphics and computer vision. As such, it addresses a problem where the goal is to generate a scene that is both real (the computer vision problem) and attractive-looking (the computer graphics...
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Mar 1 2002 |
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Determining Pose of 3D Objects With Curved Surfaces
Chen J., Stockman G. IEEE Transactions on Pattern Analysis and Machine Intelligence 18(1): 52-57, 1996. Type: Article
Chen addresses the problem of identifying the presence, orientation, and location of a possibly occluded 3D rigid object, with arbitrary curved surfaces, from a single stationary 2D image. A model-based recognition framework is adopted...
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Oct 1 1996 |
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Accurate Recovery of Three-Dimensional Shape from Image Focus
Subbarao M., Choi T. IEEE Transactions on Pattern Analysis and Machine Intelligence 17(3): 266-274, 1995. Type: Article
In the shape-from-focus method, the position and shape of an object are determined from a series of photographic images obtained at different focal planes in the camera. Each point of the object is focused on a particular focal plane, ...
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Jan 1 1996 |
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A guided tour of computer vision
Nalwa V., Addison-Wesley Longman Publishing Co., Inc., Boston, MA, 1993. Type: Book (9780201548532)
The introduction describes this book as three separate books. The first is the overview, composed of the figures and their captions (which are long and detailed); the second is the basic computer vision text; and the third is a more ad...
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Nov 1 1995 |
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