首页|Research from Manipal Academy of Higher Education Has Provided New Study Finding s on Machine Learning (Facial Similarity Measure for Recognizing Monozygotic Twi ns Utilizing 3D Facial Landmarks, Efficient Geodesic Distance Computation, and . ..)
Research from Manipal Academy of Higher Education Has Provided New Study Finding s on Machine Learning (Facial Similarity Measure for Recognizing Monozygotic Twi ns Utilizing 3D Facial Landmarks, Efficient Geodesic Distance Computation, and . ..)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Current study results on artificial intelligence have been published. According to news reporting out of Karnataka, India, by New sRx editors, research stated, “Compared with 2D face recognition systems, 3D fac ial recognition has been a popular area of study in academia and industry becaus e of its ability to detect human faces in an unconstrained environment more effi ciently.” Our news reporters obtained a quote from the research from Manipal Academy of Hi gher Education: “This study presents a new 3D face identification method that us es 3D facial images to compute geodesic distances using 3D landmarks. Feature ex traction is computationally more efficient than Euclidean distance using geodesi c distance. This study aims to demonstrate how to differentiate identical twins based solely on facial features by developing an efficient algorithm for calcula ting geodesic paths and distances. We employed the A*, Dijkstra, and fast marchi ng (FM) algorithms to calculate the geodesic distance. Quantitative similarity m etrics are obtained and then utilized as inputs in numerous classification metho ds: random forest (RF), extra tree classifier (ETC), light gradient boosting mac hine (LGBM), support vector machine (SVM), and bagging classifiers. An expressio n challenge dataset for 3D twins (3D-TEC), the most challenging data set for 3D face recognition research at Notre Dame University, was used to validate and tes t the performance of these algorithms.”
Manipal Academy of Higher EducationKar natakaIndiaAsiaAlgorithmsCyborgsEmerging TechnologiesMachine Learnin g
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