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<!DOCTYPE html>
<html>
<head lang="en">
<meta charset="UTF-8">
<title>Yanir Kleiman - Computer Graphics R&D</title>
<meta name="description" content="Yanir Kleiman - Computer Graphics R&D" />
<meta name="keywords" content="computer graphics, tel aviv university, research, phd, vfx, compositing, animation, maya, nuke, fx, td, vfs, vancouver film school" />
<meta name="author" content="Yanir Kleiman" />
<link type="text/css" rel="stylesheet" href="style2.css" />
<script type="text/javascript" language="javascript" src="common.js"></script>
</head>
<body>
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<header>
<div class="HeaderText">
<img class="Name" src="images/YanirKleiman.gif" />
<br />
<br />
Computer Graphics Dude
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</div>
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<img src="images/ThoughtBubbleSmall.gif" />
</div>
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<atricle>
<h3>Code and Data</h3>
<p>
This is a collection of code and data from different projects I have worked on. Most of it is hosted on <a href="https://github.com/hexygen" target="_blank">GitHub</a>.
</p>
</article>
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<atricle>
<h2>Segmented Shapes Dataset</h2>
<p>
This is a collection of segmented shapes that was used in the paper <em>SHED: Shape Edit Distance for Fine-grained Shape Similarity</em> (SIGGRAPH ASIA 2015).
The collection is based on some categories of the <a href="http://irc.cs.sdu.edu.cn/~yunhai/public_html/ssl/ssd.htm" target="_blank">COSEG dataset</a>.
We enriched these categories to generate more variations within each set.
We also provide a segmentation of each shape generated using
<a href="http://www.cs.tau.ac.il/~noafish/wcseg/" target="_blank">Approximate Convexity Analysis</a>.
</p>
<p>
There are four categories:
<ul>
<li><a href="https://github.com/hexygen/seg_shapes/releases/download/v1.0.0/vases.zip" target="_blank">Vases</a> (80 shapes)</li>
<li><a href="https://github.com/hexygen/seg_shapes/releases/download/v1.0.0/lamps.zip" target="_blank">Lamps</a> (100 shapes)</li>
<li><a href="https://github.com/hexygen/seg_shapes/releases/download/v1.0.0/candles.zip" target="_blank">Candles</a> (42 shapes)</li>
<li><a href="https://github.com/hexygen/seg_shapes/releases/download/v1.0.0/planes.zip" target="_blank">Planes</a> (70 shapes)</li>
</ul>
</p>
<p>
For each shape there is an <em>.off</em> file, a segmentation file <em>.seg</em>, and a thumbnail image.
The <em>.seg</em> file contains a list of segment ID for each vertex in the shape.
Download the entire collection <a href="https://github.com/hexygen/seg_shapes/releases" target="_blank">here</a>.
</p>
</article>
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<atricle>
<h2>Shape Edit Distance</h2>
<p>
The <a href="https://github.com/hexygen/shed" target="_blank">code</a> of <em>SHED: Shape Edit Distance for Fine-grained Shape Similarity</em>
can be found in the link above or on the <a href="shed.html">project page</a>.
</p>
</article>
<div class="VerticalSeparatorLine"></div>
<atricle>
<h2>Mesh Sampling</h2>
<p>
A small matlab package to create a point cloud from a given triangular mesh by uniformly sampling points over the faces.
The output contains both point locations and normal information (taken from the face the point is on).
<a href="https://github.com/hexygen/sample_mesh" target="_blank">Download here</a>.
</p>
</article>
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<atricle>
<h2> SPRender: <br /> Rendering for Shape Processing in Matlab </h2>
<p>
<a href="https://github.com/hexygen/SPRender" target="_blank">SPRender</a> package provides an easy tool for rendering 3D shapes directly from matlab.
</p>
<p>
In shape processing publications, it is often necessary to display function values, segmentation, or feature points over the 3D shape.
However, not all researchers have the knowledge or artistic skills to produce nice looking renders.
This package renders nice looking images and does not require any external dependencies or compiled mex files - so it is super easy to use.
</p>
<p>
The code for this package can be found <a href="https://github.com/hexygen/SPRender" target="_blank">here</a>.
The package supports the following types of renders and more (click to zoom):
<table class="inline">
<tr>
<td>
<a href="images/SPRender/segments.png" target="_blank"><img src="images/SPRender/segments.png" width="100%" /></a>
<br />
A segmented shape.
</td>
<td>
<a href="images/SPRender/segments_edges.png" target="_blank"><img src="images/SPRender/segments_edges.png" width="100%" /></a>
<br />
A shape with segment outlines.
</td>
</tr>
<tr>
<td>
<a href="images/SPRender/function.png" target="_blank"><img src="images/SPRender/function.png" width="100%" /></a>
<br />
A real-valued function over a shape.
</td>
<td>
<a href="images/SPRender/function_segments.png" target="_blank"><img src="images/SPRender/function_segments.png" width="100%" /></a>
<br />
A function and segment outlines.
</td>
</tr>
<tr>
<td>
<a href="images/SPRender/pointcloud_function.png" target="_blank"><img src="images/SPRender/pointcloud_function.png" width="100%" /></a>
<br />
A function over a point cloud.
</td>
<td>
<a href="images/SPRender/pointcloud_segments.png" target="_blank"><img src="images/SPRender/pointcloud_segments.png" width="100%" /></a>
<br />
A segmented point cloud.
</td>
</tr>
<tr>
<td>
<a href="images/SPRender/compare_edges.png" target="_blank"><img src="images/SPRender/compare_edges.png" width="100%" /></a>
<br />
Comparing two segmented shapes.
</td>
<td>
<a href="images/SPRender/compare_pointclouds.png" target="_blank"><img src="images/SPRender/compare_pointclouds.png" width="100%" /></a>
<br />
Comparing two segmented point clouds.
</td>
</tr>
</table>
</p>
</article>
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<atricle>
<h2>Ray Tracing Exercise</h2>
<p>
I created a simple <a href="http://www.cs.tau.ac.il/~yanirk/RayTracing.html" target="_blank">ray tracing</a> exercise for the Computer Graphics course at Tel Aviv University.
It is implemented in Java.
In the link you can find the instructions, skeleton files and examples of the desired output. If you are interested in the complete code, please contact me by email.
</p>
</article>
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<article>
<h2> SHED </h2>
<p class="authors">
The code and data for Shape Edit Distance (SHED) will be uploaded soon.
</p>
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<atricle>
<h2> Spectral Correspondence </h2>
<p>
This is a matlab implementation of the spectral correspondence method described in:
<br />
<a href="http://dl.acm.org/citation.cfm?id=1097816">A Spectral Technique for Correspondence Problems Using Pairwise Constraints</a>,
M. Leordeanu and M. Hebert, ICCV 2005
</p>
</article>
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