Product Review Based on Optimized Facial Expression Detection
Fuente:
arXiv
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| Autores principales: | , , , , |
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| Formato: | Preprint |
| Publicado: |
2026
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866911586853060608 |
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| author | Chaugule, Vikrant D, Abhishek Vijayakumar, Aadheeshwar Ramteke, Pravin Bhaskar Koolagudi, Shashidhar G. |
| author_facet | Chaugule, Vikrant D, Abhishek Vijayakumar, Aadheeshwar Ramteke, Pravin Bhaskar Koolagudi, Shashidhar G. |
| contents | This 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2604_10885 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Product Review Based on Optimized Facial Expression Detection Chaugule, Vikrant D, Abhishek Vijayakumar, Aadheeshwar Ramteke, Pravin Bhaskar Koolagudi, Shashidhar G. Computer Vision and Pattern Recognition Artificial Intelligence Graphics I.2.10; I.5.4; J.4 This 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. |
| title | Product Review Based on Optimized Facial Expression Detection |
| topic | Computer Vision and Pattern Recognition Artificial Intelligence Graphics I.2.10; I.5.4; J.4 |
| url | https://arxiv.org/abs/2604.10885 |