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Poplar Optimization Algorithm || Step-By-Step || ~xRay Pixy

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The Poplar Optimization Algorithm (POA) is a nature-inspired optimization method based on how poplar trees reproduce. It uses sexual propagation (seed dispersal by wind) for exploration and asexual reproduction (cutting and regrowth) for exploitation. Mutation and chaos factors help maintain diversity and prevent premature convergence, making POA efficient for solving complex optimization problems. Learn the Poplar Optimization Algorithm Step-By-Step using Examples. Video Chapters: Poplar Optimization Algorithm (POA) 00:00 Introduction 02:12 POA Applications 03:32 POA Steps 05:50 Execute Algorithm 1 13:45 Execute Algorithm 2 16:38 Execute Algorithm 3 18:15 Conclusion Main Points of the Poplar Optimization Algorithm (POA) Nature-Inspired Algorithm ā€“ Based on the reproductive mechanisms of poplar trees. Two Key Processes : Sexual Propagation (Seed Dispersal) ā€“ Uses wind to spread seeds, allowing broad exploration. Asexual Reproduction (Cuttings) ā€“ Strong branches grow ...

What is multi-block LBP?

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Multi-Block LBP is used to encode the rectangular regionā€™s intensity by using local binary patterns. Local Binary Pattern (LBP) looks at nine pixels at a time (i.e., 3x3 window of image = 9-pixel values and 2^9 = 512 possible values). By using Local Binary Pattern we can turn this 3x3 matrix into a single value. LBP focus on the very local neighborhood like 3x3. Multi-block LBP has been used for larger-scale structure. With the help of Multi-Block Local Binary Pattern (MB-LBP), 256 types of different binary patterns can be formed for edge detection and face detection from still images. The computation of the local binary pattern on the 3x3 matrix is shown in Figure. I used MB-LBP For Face Detection.

What are the best algorithms for face detection in Matlab?

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The best algorithms for face detection in Matlab = Viola-Jones Algorithm Face from the different digital images can be detected. The vision. CascadeObjectDetector uses the Viola-Jones algorithm to detect peopleā€™s Faces, Noses, Eyes, Mouth or upper body. The Cascade Object Detector build into MATLAB to detect the facial features from a digital image. Detects the left and right eyes separately. Detects the mouth. Detect the objects using the viola jones algorithm. Detect a pair of eyes. Detects faces that are upright and forward-facing. For Face detection: faceDetector=vision.CascadeObjectDetector('FrontalFaceCART'); For Eyes detection: faceDetector=vision.CascadeObjectDetector('EyePairBigā€™); I Created a Face Detection system using Viola- Jones algorithm. Book :  Face and Facial Expression Recognition LINK :  Face Doctor - Viola Jones LINK Project | Face Detection using Polar Harmonic Transforms ~xRay Pixy
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