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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
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| Paper Title: | FACIAL LANDMARK DETECTION FOR FACE ALIGNMENT AND RECOGNITION |
| Authors Name: | B.MUNIRAKESH , B.DINESH KUMAR REDDY , MS.KALAIPRIYA O |
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IJRTI_202025
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| Published Paper Id: | IJRTI2504023 |
| Published In: | Volume 10 Issue 4, April-2025 |
| DOI: | |
| Abstract: | A crucial part of the face recognition process, along with facial attribute analysis and face verification, is facial kandmark detection. In order to prepare face images for feature extraction in facial analysis jobs, face alignment is an essential step. Alignment is frequently used in training and inference to standardize the locations of important facial landmarks for applications including face recognition, facial emotion detection, and facial attribute classification. The effectiveness of facial analysis models is known to be greatly impacted by the approach and application of face alignment. However, there has not been enough research done on how alignment affects the quality of facial images. Although face dignment techniques based on convolutional neural networks have advanced significantly recently, occlusion remains a fundamental obstacle to achieving high accuracy. In order to enhance performance, we present in this study the attentioned distillation module from our earlier work the Occluxion-Adaptive Deep Network model. A distillation module in this model infers the occlusion probability of every place in high-level features. When measuring the relationship between facial shape and look, it can be automatically learned. However, because of the missing semantic features, the holistic face cannot be represented by the clean feature representation. We must use a low-ink learning module to recover lost features in order to achieve exhaustive and complete feature representation. |
| Keywords: | facial landmark detection, face alignment distillation module, Occlusion-Adaptive Deep Network model, quality, low-rank learning module, exhaustive and complete |
| Cite Article: | "FACIAL LANDMARK DETECTION FOR FACE ALIGNMENT AND RECOGNITION", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 4, page no.a181-a184, April-2025, Available :http://www.ijrti.org/papers/IJRTI2504023.pdf |
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2504023
Registration ID:202025
Published In: Volume 10 Issue 4, April-2025
DOI (Digital Object Identifier):
Page No: a181-a184 Country: Chennai, Tamil Nadu, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2504023 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2504023 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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