A relative 3D scan and construction for face using meshing algorithm

Savakar, Dayanand G.; Hosur, Ravi

doi:10.1007/s11042-018-5783-1

Cited by 4 publications

(1 citation statement)

References 24 publications

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“…The modern designed and structures systems on the image pictures are placed in a Data base structures in the form of rows and columns performing methods. Shubham Kathepur [14] the writer describes As of late, there have been extraordinary headways in the field of profound picking up settling on it a well-known decision for picture handling applications. the scientists actually face difficulties while the order of organic products because of comparability of shading, shape, and size.…”

Section: Literature Surveymentioning

confidence: 99%

A Novel Method for Identification and Classification of Indian Vegetables Using Random Forest Algorithm

Talawar

Honnagoudar²,

Avaradi³

2023

Data Analytics and Artificial Intelligence

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It is only the farmer who faithfully plants seeds in the spring, who reaps a harvest in the autumn. The goal of this study is to create a useful classification method using the Random Forest (RF) algorithm. Different crops, namely brinjal, carrot, and onion, were examined, and many features have been derived dependent on the design, color, and texture. A preparation stage is described that uses image analysis to enhance the vegetables images dataset in order to minimize their color index. The features of the vegetable images are then retrieved. Finally, Random Forests (RF), a newly generated pattern recognition method, used in the vegetable’s classification process. The proposed method achieved higher accuracy in terms of identification and classification of the vegetables

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Section: Literature Surveymentioning

confidence: 99%