A Shape Context Based Feature Matching Approach

Registration ID: IJNRD_197140

Published ID: IJNRD2305751

DOI: Click Here to Get

Shailja Sharma , Princy , Kirti Bhatia

Logo Comparison, Features Matching, Shape Context

The intricate nature of the form context technique is discussed, as well as its simplicity. The Fourier Transform is included in an innovative, yet straightforward design shape context method that is given for object detection. Relevance of form context is described as a crucial characteristic for the recognition process. Information about all is included. The contour points used to compute the distribution are discussed (with respect to a reference point). The role of similarity checking is addressed along with the specifics of how matching mistakes are computed using the alignment transform. The current instance of the shape context descriptor is supported by evidence demonstrating its invariance to translation, rotation, and scaling operations (for each point with respect to the centroid). The resemblance matching process apply Euclidean distance. For measuring form similarity and regaining point correspondences, we present a novel shape descriptor based feature matching method. In relation to a point inside or on the shape's edge, the shape context describes the shape's rough layout. In a bipartite graph matching framework, the shape context is used as a vector-valued attribute. No special markings or keypoints are required because our suggested approach only uses just a handful of points drawn from the set of edges that were discovered. Within our approach, there is support for tolerance and/or invariance to common picture alterations. The findings show that the adjusted shape context-based descriptor is more effective than other descriptors of related interests in comparison to those presented

Published Paper   E-Certificate

Shailja Sharma, Princy, & Kirti Bhatia (May 2023). A Shape Context Based Feature Matching Approach. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(5), h383-h387. https://ijnrd.org/papers/IJNRD2305751.pdf

Volume 8 Issue 5, May-2023

Pages : h383-h387

Paper Reg. ID: IJNRD_197140

Published Paper Id: IJNRD2305751

Downloads: 000121987

Research Area: Computer Science & Technology 

Country: Bahadurgarh, Haryana, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2305751.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2305751

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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