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dc.contributor.authorChaugule, V.
dc.contributor.authorAbhishek, D.
dc.contributor.authorVijayakumar, A.
dc.contributor.authorRamteke, P.B.
dc.contributor.authorKoolagudi, S.G.
dc.identifier.citation2016 9th International Conference on Contemporary Computing, IC3 2016, 2017, Vol., , pp.-en_US
dc.description.abstractThis paper proposes a method to review public acceptance of products based on their brand by analyzing the facial expression of the customer intending to buy the product from a supermarket or hypermarket. In such cases, facial expression recognition plays a significant role in product review. Here, facial expression detection is performed by extracting feature points using a modified Harris algorithm. The modified Harris algorithm reduced the time complexity of the existing feature extraction Harris Algorithm. A comparison of time complexities of existing algorithms is done with proposed algorithm. The algorithm proved to be significantly faster and nearly accurate for the needed application by reducing the time complexity for corner points detection. � 2016 IEEE.en_US
dc.titleProduct review based on optimized facial expression detectionen_US
dc.typeBook chapteren_US
Appears in Collections:2. Conference Papers

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