Computer Vision
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Paper presents absolutely new ideas about needs and possibilities of automatic understanding of the image semantic content. The idea under consideration can be found as next step on the way starting from capturing of the images in digital... more
Paper presents absolutely new ideas about needs and possibilities of automatic understanding of the image semantic content. The idea under consideration can be found as next step on the way starting from capturing of the images in digital form as two–dimensional data structures, next going throw images processing as a tool for enhancement of the images visibility and readability, applying
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Summary form only given, as follows. An examination is made of both low-level and higher level vision architectures for motion analysis. To improve the low-level motion information processing, the need to investigate specific issues... more
Summary form only given, as follows. An examination is made of both low-level and higher level vision architectures for motion analysis. To improve the low-level motion information processing, the need to investigate specific issues related to motion detection mechanisms is argued. These issues are: the use of inhibition inputs, the inhibitory mechanism in motion, and the resolution increase. A structure
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The problem that we address in this paper is that of learning hierarchical object categories. Indeed, Digital media technology generates huge amount of non-textual information. Categorizing this information is a challenging task which has... more
The problem that we address in this paper is that of learning hierarchical object categories. Indeed, Digital media technology generates huge amount of non-textual information. Categorizing this information is a challenging task which has served important applications. An important part of this nontextual information is composed of images and videos which consists of various objects each of which may be
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Recent descriptions of algorithms applied to images archived from webcams tend to underplay the challenges in working with large data sets acquired from uncontrolled webcams in real environments. In building a database of images captured... more
Recent descriptions of algorithms applied to images archived from webcams tend to underplay the challenges in working with large data sets acquired from uncontrolled webcams in real environments. In building a database of images captured from 1000 webcams, every 30 minutes for the last 3 years, we observe that these cameras have a wide variety of failure modes. This paper details steps we have taken to make this dataset more easily useful to the research community, including (a) tools for finding stable temporal ...
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Research Interests: Algorithms, Computer Vision, Kinetics, Fluorescence Microscopy, Calcium, and 17 moreFluorescent Dyes and Reagents, Biophysical Chemistry, Biological Sciences, Animals, Physical sciences, Temperature, Muscles, Time Resolved, CHEMICAL SCIENCES, Myocardium, Time Factors, Guinea Pig, Muscle contraction, Rabbits, Heart Ventricles, Myofibrils, and Left Ventricle
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Categorization of scenes is a fundamental process of human vision that allows us to efficiently and rapidly analyze our surroundings. Several studies have explored the processes underlying human scene categorization, but they have focused... more
Categorization of scenes is a fundamental process of human vision that allows us to efficiently and rapidly analyze our surroundings. Several studies have explored the processes underlying human scene categorization, but they have focused on processing global image information. In this study, we present both psychophysical and computational experiments that investigate the role of local versus global image information in
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... Organization VI Workshop Co-chairs HH S.-W. T. Poggio Bülthoff Lee Program Committee S. Akamatsu J. Aloimonos J. Austin S.-Y. Bang C.-S. Chung L. da F ... 150 O. Stasse, Y. Kuniyoshi, G. Cheng Real-Time Visual Tracking Insensitive to... more
... Organization VI Workshop Co-chairs HH S.-W. T. Poggio Bülthoff Lee Program Committee S. Akamatsu J. Aloimonos J. Austin S.-Y. Bang C.-S. Chung L. da F ... 150 O. Stasse, Y. Kuniyoshi, G. Cheng Real-Time Visual Tracking Insensitive to Three-Dimensional Rotation of Objects ...
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AbstractEven though vanishing points in digital images result from parallel lines in the 3D scene, most of the proposed detection algorithms are forced to rely heavily either on additional properties (like orthogonality or coplanarity and... more
AbstractEven though vanishing points in digital images result from parallel lines in the 3D scene, most of the proposed detection algorithms are forced to rely heavily either on additional properties (like orthogonality or coplanarity and equal distance) of the underlying 3D ...