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Object Recognition by Template Matching Using Correlations and Phase Angle Method
KAVITA AHUJA, PREETI TULI MTech Scholar, Computer Science & Engg, Disha Institute of Management and Technology, Raipur, India Assistant Professor, Computer Science & Engg, Disha Institute of Management and Technology, Raipur, India
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Abstract: Object recognition in computer vision is the task of finding a given object in an image or video sequence. The aim of object recognition is to correctly identify objects in a scene and estimate their pose (location and orientation). The goal is to realize the ability of current object recognition techniques to find similar objects when input is entirely in image form. In this present work, template matching techniques is used to recognize the object using correlation and Phase Angle Method.
Keywords: Object Recognition, Phase Angle, Correlation, Normalized cross correlation, Template Matching, Fourier Transform
Keywords: Object Recognition, Phase Angle, Correlation, Normalized cross correlation, Template Matching, Fourier Transform
How to Cite:
[1] KAVITA AHUJA, PREETI TULI MTech Scholar, Computer Science & Engg, Disha Institute of Management and Technology, Raipur, India Assistant Professor, Computer Science & Engg, Disha Institute of Management and Technology, Raipur, India , “Object Recognition by Template Matching Using Correlations and Phase Angle Method,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE)
This work is licensed under a Creative Commons Attribution 4.0 International License.