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for Image Interpretation

by Cambridge Research Lab, Gudrun Klinker, Gudrun Klinker - Advances in Scientific Visualization , 1991
"... Higher-level image interpretation systems typically consist of many tightly-coupled modules, each related to a particular aspect of the interpretation task. When such a system produces wrong results, programmers generally spend a lot of time writing special-purpose display routines to facilitate inv ..."
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Higher-level image interpretation systems typically consist of many tightly-coupled modules, each related to a particular aspect of the interpretation task. When such a system produces wrong results, programmers generally spend a lot of time writing special-purpose display routines to facilitate

Deformable models in medical image analysis: A survey

by Tim Mcinerney, Demetri Terzopoulos - Medical Image Analysis , 1996
"... This article surveys deformable models, a promising and vigorously researched computer-assisted medical image analysis technique. Among model-based techniques, deformable models offer a unique and powerful approach to image analysis that combines geometry, physics, and approximation theory. They hav ..."
Abstract - Cited by 591 (7 self) - Add to MetaCart
the significant variability of biological structures over time and across different individuals. Furthermore, they support highly intuitive interaction mechanisms that, when necessary, allow medical scientists and practitioners to bring their expertise to bear on the model-based image interpretation task

Joint Segmentation And Image Interpretation

by K. Sunil Kumar, U. B. Desai - Proc. 3 rd IEEE International Conference on Image Processing , 1996
"... Interpreting images is a difficult task to automate. Image interpretation essentially consists of both low level and high level vision tasks. In this paper, we develop a joint scheme for segmentation and image interpretation in a multiresolution framework, where segmentation (low level) and interpre ..."
Abstract - Cited by 7 (0 self) - Add to MetaCart
Interpreting images is a difficult task to automate. Image interpretation essentially consists of both low level and high level vision tasks. In this paper, we develop a joint scheme for segmentation and image interpretation in a multiresolution framework, where segmentation (low level

The role of context in image interpretation

by Dag Elgesem, Joan Nordbotten
"... Abstract. With the increasing availability and use of mobile phones with camera functionality, it becomes feasible to use these devices to query image databases for information. However, the resulting photo/image query commonly depicts several objects and can be open to a number of interpretations. ..."
Abstract - Cited by 2 (0 self) - Add to MetaCart
Abstract. With the increasing availability and use of mobile phones with camera functionality, it becomes feasible to use these devices to query image databases for information. However, the resulting photo/image query commonly depicts several objects and can be open to a number of interpretations

Visual interpretation of hand gestures for human-computer interaction: A review

by Vladimir I. Pavlovic, Rajeev Sharma, Thomas S. Huang - IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE , 1997
"... The use of hand gestures provides an attractive alternative to cumbersome interface devices for human-computer interaction (HCI). In particular, visual interpretation of hand gestures can help in achieving the ease and naturalness desired for HCI. This has motivated a very active research area conc ..."
Abstract - Cited by 489 (17 self) - Add to MetaCart
differences in the gesture interpretation approaches arise depending on whether a 3D model of the human hand or an image appearance model of the human hand is used. 3D hand models offer a way of more elaborate modeling of hand gestures but lead to computational hurdles that have not been overcome given

Qualitative Probabilities for Image Interpretation

by Allan Jepson, Richard Mann
"... Two basic problems in image interpretation are: a) determining which interpretations are the most plausible amoungst many possibilities; and b) controlling the search for plausible interpretations. We address these issues using a Bayesian approach, with the plausibility ordering and search pruning b ..."
Abstract - Cited by 13 (1 self) - Add to MetaCart
Two basic problems in image interpretation are: a) determining which interpretations are the most plausible amoungst many possibilities; and b) controlling the search for plausible interpretations. We address these issues using a Bayesian approach, with the plausibility ordering and search pruning

Model-Based Image Interpretation Using Genetic Algorithms

by A. Hill, C. J. Taylor , 1992
"... We describe the application of genetic algorithms in model-based image interpretation. ..."
Abstract - Cited by 47 (3 self) - Add to MetaCart
We describe the application of genetic algorithms in model-based image interpretation.

A combined corner and edge detector

by Chris Harris, Mike Stephens - In Proc. of Fourth Alvey Vision Conference , 1988
"... Consistency of image edge filtering is of prime importance for 3D interpretation of image sequences using feature tracking algorithms. To cater for image regions containing texture and isolated features, a combined corner and edge detector based on the local auto-correlation function is utilised, an ..."
Abstract - Cited by 2453 (2 self) - Add to MetaCart
Consistency of image edge filtering is of prime importance for 3D interpretation of image sequences using feature tracking algorithms. To cater for image regions containing texture and isolated features, a combined corner and edge detector based on the local auto-correlation function is utilised

Nonlinear total variation based noise removal algorithms

by Leonid I. Rudin, Stanley Osher, Emad Fatemi , 1992
"... A constrained optimization type of numerical algorithm for removing noise from images is presented. The total variation of the image is minimized subject to constraints involving the statistics of the noise. The constraints are imposed using Lagrange multipliers. The solution is obtained using the g ..."
Abstract - Cited by 2271 (51 self) - Add to MetaCart
to be state-of-the-art for very noisy images. The method is noninvasive, yielding sharp edges in the image. The technique could be interpreted as a first step of moving each level set of the image normal to itself with velocity equal to the curvature of the level set divided by the magnitude of the gradient

Space-time Interest Points

by Ivan Laptev, Tony Lindeberg - IN ICCV , 2003
"... Local image features or interest points provide compact and abstract representations of patterns in an image. In this paper, we propose to extend the notion of spatial interest points into the spatio-temporal domain and show how the resulting features often reflect interesting events that can be use ..."
Abstract - Cited by 819 (21 self) - Add to MetaCart
Local image features or interest points provide compact and abstract representations of patterns in an image. In this paper, we propose to extend the notion of spatial interest points into the spatio-temporal domain and show how the resulting features often reflect interesting events that can
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