Proceedings Article10.1109/CVPR.1994.323908
Recognition by using an active/space-variant sensor
Tistarelli
- 21 Jun 1994
- pp 833-837
3
TL;DR: This work proposes an "active" approach for object recognition, based on the capability of the observer to move and give a better description of the object under consideration and also to take advantage of the relations between the objects and the environment.
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Abstract: The problem of object recognition is addressed. In the literature this task has been generally considered in a "passive" perspective, where everything is static and there is no definite relation between the object and its environment. We propose an "active" approach for object recognition, based on the capability of the observer to move and give a better description of the object under consideration and also to take advantage of the relations between the objects and the environment. This can be accomplished at the task level and at the sensor level. The face recognition problem, based on the face-space approach, is considered to demonstrate the advantage of adopting an active retina to sample the face, build a database and perform the recognition task. By using an active space-variant retina the size of the database is considerably reduced and consequently the processing time for recognition. A comparative experiment using the active and static approach is presented. >
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Lawrence Sirovich,Michael Kirby +1 more
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Active vision
Andrew Blake,Alan L. Yuille +1 more
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TL;DR: Sometimes, reading is very boring and it will take long time starting from getting the book and start reading, but in modern era, you can take the developing technology by utilizing the internet and search for the book that is needed.
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Purposive and qualitative active vision
John Aloimonos
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TL;DR: The traditional view of the problem of computer vision as a recovery problem is questioned, and the paradigm of purposive-qualitative vision is offered as an alternative and the design of the Medusa of CVL is described.
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