Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/138955
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dc.contributor.authorLin, HaoXianen_US
dc.date.accessioned2020-05-14T05:38:22Z-
dc.date.available2020-05-14T05:38:22Z-
dc.date.issued2020-
dc.identifier.urihttps://hdl.handle.net/10356/138955-
dc.description.abstractThis paper presents the process of multiple image stitching. Using a robust feature-base matching method to detect and extract distinctive invariant features from image. Applying fitting model to remove noisy point and outliers to enhance feature matching result. Estimating and optimizing the camera parameters for correct image transformation. Finally, correct any distortion in the panorama to restore the naturality.en_US
dc.language.isoenen_US
dc.publisherNanyang Technological Universityen_US
dc.relationA1046-191en_US
dc.subjectEngineering::Electrical and electronic engineeringen_US
dc.titleImage jigsaw puzzleen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorChua Chin Sengen_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.degreeBachelor of Engineering (Electrical and Electronic Engineering)en_US
dc.contributor.supervisoremailecschua@ntu.edu.sgen_US
item.grantfulltextrestricted-
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Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)
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