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Object Reading: Text Recognition for Object Recognition
2012We propose to use text recognition to aid in visual object class recognition. To this end we first propose a new algorithm for text detection in natural images. The proposed text detection is based on saliency cues and a context fusion step. The algorithm does not need any parameter tuning and can deal with varying imaging conditions. We evaluate three
Karaoglu, S. +2 more
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Nature Neuroscience, 2000
Understanding how biological visual systems recognize objects is one of the ultimate goals in computational neuroscience. From the computational viewpoint of learning, different recognition tasks, such as categorization and identification, are similar, representing different trade-offs between specificity and invariance.
M, Riesenhuber, T, Poggio
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Understanding how biological visual systems recognize objects is one of the ultimate goals in computational neuroscience. From the computational viewpoint of learning, different recognition tasks, such as categorization and identification, are similar, representing different trade-offs between specificity and invariance.
M, Riesenhuber, T, Poggio
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Object recognition is not predication
Behavioral and Brain Sciences, 2003Predicates involved in language and reasoning are claimed to radically differ from categories applied to objects. Human predicates are the cognitive result of a contrast between perceived objects. Object recognition alone cannot generate such operations as modification and explicit negation.
Jean-Louis, Dessalles, Laleh, Ghadakpour
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Recognition of movable objects
Proceedings of the 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems, 2011People visiting a foreign city are often not comfortable with the public transport system. This paper describes a system designed help passengers not only to find a suitable route but also to identify the correct bus. Different ways for recognising buses are explained and examined for practicability in the city of Berlin.
Andreas Bilke, Jürgen Sieck
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Recognition of occluded objects
Pattern Recognition, 1992Abstract An effective approach in recognizing occluded objects which are partially blocked from sight is to detect a number of essential features on the boundary of the unknown shapes. Major problems fall into the selection of the appropriate feature set for representing the object in the training stage, as well as in the detection and localization ...
Peter Wai-Ming Tsang +2 more
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Scene recognition with objectness
Pattern Recognition, 2018Abstract In this paper, we present a feature description method called semantic descriptor with objectness (SDO) for scene recognition. Most existing scene representation methods exploit the characteristics of constituent objects in scenes with inter-class independence, which ignore the negative effects caused by the common objects among different ...
Xiaojuan Cheng +4 more
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Object recognition by invariants
Proceedings., 11th IAPR International Conference on Pattern Recognition. Vol.II. Conference B: Pattern Recognition Methodology and Systems, 2003Deals with the interpretation and classification of optical images of three-dimensional scenes. An experimental system is described in which certain features, called Zernike moment invariants, are extracted from binary images and then used for automatic classification. Up to 20 features are used to describe binary images of five object types.
Predrag Pejnovic +2 more
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Trends in Cognitive Sciences, 2001
The role of object recognition in our everyday interaction with the environment is, quite obviously, very important. It is hardly surprising, then, that numerous functional neuroimaging studies have explored the various brain areas that might be involved in this skill.
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The role of object recognition in our everyday interaction with the environment is, quite obviously, very important. It is hardly surprising, then, that numerous functional neuroimaging studies have explored the various brain areas that might be involved in this skill.
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Cooperative object recognition
Pattern Recognition Letters, 2001Summary: This paper introduces an approach to recognize objects in a group of observers. The fundamental idea of this approach is based on the usage of cooperation at object level in order to overcome limitations of typical recognition applications which often lead to ambiguous interpretations. By integrating individual hypotheses which were calculated
Norbert Oswald, Paul Levi
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Object Recognition Method and Object Recognition Device
2022KUROTOBI TOMOKO +2 more
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