THREE DIMENSIONAL OBJECT MOTION MODELLING BASED ON IMAGE DATA
Computer vision is a technology that used to analyze an image or set of images. There are 2 methods used in computer vision, image processing and pattern recognition. Image processing is a process to obtain information from an image while pattern recognition is a method to store information from an...
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id-itb.:237642017-11-09T14:44:04ZTHREE DIMENSIONAL OBJECT MOTION MODELLING BASED ON IMAGE DATA RYAN GIFARI (NIM. 10213094), RADEN Indonesia Final Project INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/23764 Computer vision is a technology that used to analyze an image or set of images. There are 2 methods used in computer vision, image processing and pattern recognition. Image processing is a process to obtain information from an image while pattern recognition is a method to store information from an image. In this final project, the image processing method will be used to create a 3 dimensional object motion modelling. To test 3-dimensional modelling is good enough or not, a case study is done by determining coefficient restitution of a ball and the earth's gravitational acceleration coefficient. From the results obtained, error is obtained for each case study is up to 10%. From the error, it can be concluded that 3 dimensional motion modeling is good enough. text |
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Institut Teknologi Bandung |
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Institut Teknologi Bandung Library |
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Asia |
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Indonesia Indonesia |
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Institut Teknologi Bandung |
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Digital ITB |
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Indonesia |
| description |
Computer vision is a technology that used to analyze an image or set of images. There are 2 methods used in computer vision, image processing and pattern recognition. Image processing is a process to obtain information from an image while pattern recognition is a method to store information from an image. In this final project, the image processing method will be used to create a 3 dimensional object motion modelling. To test 3-dimensional modelling is good enough or not, a case study is done by determining coefficient restitution of a ball and the earth's gravitational acceleration coefficient. From the results obtained, error is obtained for each case study is up to 10%. From the error, it can be concluded that 3 dimensional motion modeling is good enough. |
| format |
Final Project |
| author |
RYAN GIFARI (NIM. 10213094), RADEN |
| spellingShingle |
RYAN GIFARI (NIM. 10213094), RADEN THREE DIMENSIONAL OBJECT MOTION MODELLING BASED ON IMAGE DATA |
| author_facet |
RYAN GIFARI (NIM. 10213094), RADEN |
| author_sort |
RYAN GIFARI (NIM. 10213094), RADEN |
| title |
THREE DIMENSIONAL OBJECT MOTION MODELLING BASED ON IMAGE DATA |
| title_short |
THREE DIMENSIONAL OBJECT MOTION MODELLING BASED ON IMAGE DATA |
| title_full |
THREE DIMENSIONAL OBJECT MOTION MODELLING BASED ON IMAGE DATA |
| title_fullStr |
THREE DIMENSIONAL OBJECT MOTION MODELLING BASED ON IMAGE DATA |
| title_full_unstemmed |
THREE DIMENSIONAL OBJECT MOTION MODELLING BASED ON IMAGE DATA |
| title_sort |
three dimensional object motion modelling based on image data |
| url |
https://digilib.itb.ac.id/gdl/view/23764 |
| _version_ |
1822020196707074048 |