Results 231 to 240 of about 160,762 (267)
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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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Annual Review of Neuroscience, 1996
Visual object recognition is of fundamental importance to most animals. The diversity of tasks that any biological recognition system must solve suggests that object recognition is not a single, general purpose process. In this review, we consider evidence from the fields of psychology, neuropsychology, and neurophysiology, all of which supports the ...
Logothetis, N., Sheinberg, D.
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Visual object recognition is of fundamental importance to most animals. The diversity of tasks that any biological recognition system must solve suggests that object recognition is not a single, general purpose process. In this review, we consider evidence from the fields of psychology, neuropsychology, and neurophysiology, all of which supports the ...
Logothetis, N., Sheinberg, D.
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Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003
The concept of active object recognition is introduced, and a proposal for its solution is described. The camera is mounted on the end of a robot arm on a mobile base. The system exploits the mobility of the camera by using low-level image data to drive the camera to a standard viewpoint with respect to an unknown object.
David Wilkes, John K. Tsotsos
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The concept of active object recognition is introduced, and a proposal for its solution is described. The camera is mounted on the end of a robot arm on a mobile base. The system exploits the mobility of the camera by using low-level image data to drive the camera to a standard viewpoint with respect to an unknown object.
David Wilkes, John K. Tsotsos
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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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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 and visual object agnosia
2021The term visual agnosia is used to refer to recognition disorders that are confined to the visual modality, that are not due to an impairment in sensory functions, and that cannot be explained by other cognitive deficits or by general reduction in intellectual ability.
Gerlach, Christian, Robotham, Ro Julia
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Current Opinion in Neurobiology, 1991
Progress in the understanding of visual recognition in the past year has been signified by the demonstration of computational feasibility of and psychophysical support for two-dimensional view-interpolation methods.
S, Edelman, T, Poggio
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Progress in the understanding of visual recognition in the past year has been signified by the demonstration of computational feasibility of and psychophysical support for two-dimensional view-interpolation methods.
S, Edelman, T, Poggio
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Probabilistic 3D object recognition
Proceedings of IEEE International Conference on Computer Vision, 2000A probabilistic 3D object recognition algorithm is presented. In order to guide the recognition process the probability that match hypotheses between image features and model features are correct is computed. A model is developed which uses the probabilistic peaking effect of measured angles and ratios of lengths by tracing iso angle and iso ratio ...
Ilan Shimshoni, Jean Ponce
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Transinformation for active object recognition
Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271), 2002This article develops an analogy between object recognition and the transmission of information through a channel based on the statistical representation of the appearances of 3D objects. This analogy provides a means to quantitatively evaluate the contribution of individual receptive field vectors, and to predict the performance of the object ...
Bernt Schiele, James L. Crowley
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