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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2503.03204 |
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| _version_ | 1866912260445700096 |
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| author | Bhatt, Setu A. Prajapati, Harshadkumar B. Dabhi, Vipul K. Tyagi, Ankush |
| author_facet | Bhatt, Setu A. Prajapati, Harshadkumar B. Dabhi, Vipul K. Tyagi, Ankush |
| contents | This paper presents an innovative approach that enables the user to find matching faces based on the user-selected face parameters. Through gradio-based user interface, the users can interactively select the face parameters they want in their desired partner. These user-selected face parameters are transformed into a text prompt which is used by the Text-To-Image generation model to generate a realistic face image. Further, the generated image along with the images downloaded from the Jeevansathi.com are processed through face detection and feature extraction model, which results in high dimensional vector embedding of 512 dimensions. The vector embeddings generated from the downloaded images are stored into vector database. Now, the similarity search is carried out between the vector embedding of generated image and the stored vector embeddings. As a result, it displays the top five similar faces based on the user-selected face parameters. This contribution holds a significant potential to turn into a high-quality personalized face matching tool. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_03204 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Find Matching Faces Based On Face Parameters Bhatt, Setu A. Prajapati, Harshadkumar B. Dabhi, Vipul K. Tyagi, Ankush Computer Vision and Pattern Recognition This paper presents an innovative approach that enables the user to find matching faces based on the user-selected face parameters. Through gradio-based user interface, the users can interactively select the face parameters they want in their desired partner. These user-selected face parameters are transformed into a text prompt which is used by the Text-To-Image generation model to generate a realistic face image. Further, the generated image along with the images downloaded from the Jeevansathi.com are processed through face detection and feature extraction model, which results in high dimensional vector embedding of 512 dimensions. The vector embeddings generated from the downloaded images are stored into vector database. Now, the similarity search is carried out between the vector embedding of generated image and the stored vector embeddings. As a result, it displays the top five similar faces based on the user-selected face parameters. This contribution holds a significant potential to turn into a high-quality personalized face matching tool. |
| title | Find Matching Faces Based On Face Parameters |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2503.03204 |