Object Recognization System
Abstract
In recent years Artificial has shown immense growth and future scope. One specific area where its potential is growing with every passing year is Natural Language Processing (NLP).With the help of artificial intelligence voice assistants can communicate with users in natural language.They are very easy to use and today in this growing digital world their use is expected to grow only further. From being in our home speaker to in our pocket in the form of smartphones it is safe to say they have consolidated their position in our everyday life. The purpose of this research paper is to understand the growing use of voice assistants in our daily life.
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3. Hayward, W.G. (Oct 2003) „After the viewpoint debate: where next in object 3 recognition?
4. Trends in Cognitive Sciences, vol 7, no.10, pp. 425–7. Humphreys, G.W. and Bruce, V. (1989) Visual Cognition:
Computational, Experimental and Neuropsychological.
5. Perspectives, Hove, Lawrence Erlbaum Associates Ltd, in Kaye, H. (2010) (Ed) “Cognitive Psychology”, Milton Keynes, The Open University, p.106. Humphreys.
6. G.W. and Riddoch, M.J. (1984)„ Routes to object constancy: implications from neurological impairments
of object constancy.
7. Journal of Experimental Psychology: Human Perception and Performance, vol.22, pp.395–416, in Kaye, H. (2010) (Ed) “Cognitive Psychology”, Milton Keynes, The Open University.
8. Nishihara, H.K. (1978) „Representation and recognition of the spatial organization of three-dimensional shapes.
9. Proceedings of the Royal Society of London, Series B, vol.211, pp.151–80 in Kaye, H. (2010) (Ed) “Cognitive
Psychology Milton Keynes, The Open University, pp. 116-23.
10. J. & Bülthoff, H. H. (1995) „Is human object recognition better described by geon structural descriptions or
by multiple views? Comment on Biederman and Gerhardstein (1993).
11. Journal of Experimental Psychology: Human Perception and Performance, vol.21, no.6, pp.1494– 505. Warrington, E.K. and Taylor, A.M. (1978) „Two categorical stages of object recognition‟, Perception, vol.7, pp.695–705, in Kaye, H. (2010) (Ed) “Cognitive Psychology Milton Keynes, The Open University, p.123.
Published
2023-10-17
How to Cite
JUYAL, Sidharth.
Object Recognization System.
Journal of Advanced Research in Signal Processing and Applications, [S.l.], v. 5, n. 1, p. 4-6, oct. 2023.
Available at: <http://thejournalshouse.com/index.php/SignalProcessing-Applications/article/view/872>. Date accessed: 22 dec. 2024.
Section
Review Article