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The Leaf Genie | Final Project for Dr. Pless's CSE 559Final Project for Dr. Pless's CSE 559 (by Ines Sombra)
http://theleafgenie.wordpress.com/
Final Project for Dr. Pless's CSE 559 (by Ines Sombra)
http://theleafgenie.wordpress.com/
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The Leaf Genie | Final Project for Dr. Pless's CSE 559 | theleafgenie.wordpress.com Reviews
https://theleafgenie.wordpress.com
Final Project for Dr. Pless's CSE 559 (by Ines Sombra)
theleafgenie.wordpress.com
Classification | The Leaf Genie
https://theleafgenie.wordpress.com/classification
Final Project for Dr. Pless's CSE 559. Posted by Ines Sombra. This project encompasses attempting classification of a leaf based on the data sets described in the Data sets. Section. In an attempt to identify a reasonable method for classifying a leaf, two different implementations, each with different variants, were evaluated. The two implementations evaluated include Principal Component Analysis (PCA). For more explanation regarding these techniques. 8211; The Viola-Jones implementation includes the fo...
References | The Leaf Genie
https://theleafgenie.wordpress.com/references
Final Project for Dr. Pless's CSE 559. Posted by Ines Sombra. Ling, Jacobs, “Using the Inner-Distance for Classification of Articulated Shapes”, IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 719-726, 2005. O Soderkvist. Computer Vision Classification of Leaves from Swedish Trees , Master Thesis, Linkoping Univ. 2001. 8220;Efficient Shape Matching Using Shape Contexts”,. IEEE Transactions on Pattern Analysis and Machine Intelligence. Vol 27, no. 11, pp. 1832-1837, November, 2005.
Original Proposal | The Leaf Genie
https://theleafgenie.wordpress.com//dataset/original-proposal
Final Project for Dr. Pless's CSE 559. Posted by Ines Sombra. By Bonnie Evans, Billy Bennett and Ines Sombra. To identify and classify images of leaves. Figure 1. Our process. A possible extension is to have the user mark points on the leaf between the tip and where the stem meets the leaf as well as the perpendicular axis going through the fattest part of the leaf. The proportion of those two values (the height and width of the leaf) will then be used in conjunction with the gradient data to classif...
The Leaf Genie | The Leaf Genie
https://theleafgenie.wordpress.com/2010/04/02/hello-world
Final Project for Dr. Pless's CSE 559. Posted April 2, 2010 by Ines Sombra in Uncategorized. Comments Off on The Leaf Genie. By Bonnie Evans, Billy Bennett and Ines Sombra. The goal of this application is to be able to identify and classify images of leaves. Data sets used to train the classifiers can be found on the Data Sets Tab at the top of this page. Blog at WordPress.com. Follow “The Leaf Genie”. Get every new post delivered to your Inbox. Build a website with WordPress.com.
Datasets | The Leaf Genie
https://theleafgenie.wordpress.com/dataset
Final Project for Dr. Pless's CSE 559. Posted by Ines Sombra. We used the following datasets in the implementation of this project. Dataset 1: Herbarium Dataset. Is comprised of high-resolution leaf images of 90,000 images, covering more than one quarter of all known plant species. The dataset is described in the following paper:. 8220; First Steps Toward an Electronic Field Guide for Plants. The herbarium images are low-resolution photographs of a stemmed leaf against a white background. The dataset pro...
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The Leaf Genie | Final Project for Dr. Pless's CSE 559
Final Project for Dr. Pless's CSE 559. Posted by Ines Sombra in Uncategorized. Comments Off on The Leaf Genie. By Bonnie Evans, Billy Bennett and Ines Sombra. The goal of this application is to be able to identify and classify images of leaves. Data sets used to train the classifiers can be found on the Data Sets Tab at the top of this page. Create a free website or blog at WordPress.com. The Spring Loaded Theme. Blog at WordPress.com. The Spring Loaded Theme. Follow “The Leaf Genie”.
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