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            <name>Title</name>
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    <name>Article</name>
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          <name>Title</name>
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              <text>A HYBRID APPROACH FOR LANDMARK DETECTION OF 3D FACES FOR FORENSIC INVESTIGATION</text>
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          <name>Subject</name>
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              <text>Edge Contouring Detection; Facial Reconstruction; Harris Corner Detection; Hybrid Method; Landmark detection</text>
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              <text>Facial landmark detection is a key technology in many forensic applications, such as facial identification and facial reconstruction. However, the accuracy of facial landmark detection is often limited in 3D face images due to the challenges of occlusion, illumination, and pose variations. This paper proposes a hybrid approach for landmark detection of 3D faces for forensic investigation. A hybrid method of edge contour detection and Harris corner detection is proposed for feature extraction in face images for forensic investigation. Edge contour detection is used to detect the boundaries of the face, while Harris corner detection is used to detect the corners. The advantage of using a hybrid method of edge contour detection and Harris corner detection for feature extraction in face images is that it can capture both global and local features of the face. Edge contour detection can capture global features, such as the overall shape and outline of the face, while Harris corner detection can capture local features, such as the corners of the mouth, nose and eyes which are vital for facial reconstruction. Experimental results show that the proposed method outperforms existing landmark detection algorithms in terms of time complexity and minimum loss.  2023 Little Lion Scientific.</text>
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          <name>Creator</name>
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              <text>John S.; Danti A.</text>
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              <text>Journal of Theoretical and Applied Information Technology, Vol-101, No. 19, pp. 5904-5915.</text>
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          <name>Publisher</name>
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              <text>Little Lion Scientific</text>
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          <name>Date</name>
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              <text>2023-01-01</text>
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          <name>Identifier</name>
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              <text>&lt;a href="" target="_blank" rel="noreferrer noopener"&gt;&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85175472257&amp;amp;partnerID=40&amp;amp;md5=bbec7dc1cbbe3dfe834fad984dbe359a" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85175472257&amp;amp;partnerID=40&amp;amp;md5=bbec7dc1cbbe3dfe834fad984dbe359a&lt;/a&gt;</text>
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          <name>Rights</name>
          <description>Information about rights held in and over the resource</description>
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              <text>Restricted Access</text>
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          <name>Relation</name>
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              <text>ISSN: 19928645</text>
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          <name>Format</name>
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              <text>Online</text>
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              <text>English</text>
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          <name>Type</name>
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              <text>John S., CSE Dept, School of Engineering and Technology, CHRIST (Deemed to be) University, Bangalore, India; Danti A., CSE Dept, School of Engineering and Technology, CHRIST (Deemed to be) University, Bangalore, India</text>
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