📄 recog_clipsdesc.html
字号:
<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN"
"http://www.w3.org/TR/REC-html40/loose.dtd">
<html>
<head>
<title>Description of recog_clipsdesc</title>
<meta name="keywords" content="recog_clipsdesc">
<meta name="description" content="Create descriptor of every clip.">
<meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1">
<meta name="generator" content="m2html © 2005 Guillaume Flandin">
<meta name="robots" content="index, follow">
<link type="text/css" rel="stylesheet" href="../m2html.css">
<script type="text/javascript">
if (top.frames.length == 0) { top.location = "../index.html"; };
</script>
</head>
<body>
<a name="_top"></a>
<!-- menu.html recognition -->
<h1>recog_clipsdesc
</h1>
<h2><a name="_name"></a>PURPOSE <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2>
<div class="box"><strong>Create descriptor of every clip.</strong></div>
<h2><a name="_synopsis"></a>SYNOPSIS <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2>
<div class="box"><strong>function data = recog_clipsdesc( DATASETS, clusters, csigma ) </strong></div>
<h2><a name="_description"></a>DESCRIPTION <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2>
<div class="fragment"><pre class="comment"> Create descriptor of every clip.
Takes clusters and assigns each cuboid to its type. Next, the cuboid types are
histogrammed to create a descriptor for each clip in each dataset.
INPUTS
DATASETS - array of structs, should have the fields:
.desc - length N cell vector of cuboid descriptors
.ncilps - N: number of clips
clusters - cuboid clusters
csigma - soft assign see clipdesc
OUTPUTS
data - length N cell vector of (nclips x p) arrays of data</pre></div>
<!-- crossreference -->
<h2><a name="_cross"></a>CROSS-REFERENCE INFORMATION <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2>
This function calls:
<ul style="list-style-image:url(../matlabicon.gif)">
<li><a href="../descriptors/imagedesc2clusters.html" class="code" title="function desc2 = imagedesc2clusters( desc, clusters, csigma )">imagedesc2clusters</a> Assignment of descriptors to clusters.</li><li><a href="recog_clipdesc.html" class="code" title="function clipdesc = recog_clipdesc( desc_cuboids, nclusters, nframes )">recog_clipdesc</a> Creates a clip descriptor that is simply a histogram of cuboids present.</li></ul>
This function is called by:
<ul style="list-style-image:url(../matlabicon.gif)">
<li><a href="recog_test.html" class="code" title="function [ER,CMS] = recog_test( DATASETS, k, nreps )">recog_test</a> Test the performance of behavior recognition using the cuboid representation.</li><li><a href="recog_test_nfold.html" class="code" title="function [ER,CM] = recog_test_nfold( DATASETS, k, nreps )">recog_test_nfold</a> Test the performance of behavior recognition using cross validation.</li></ul>
<!-- crossreference -->
<hr><address>Generated on Tue 11-Oct-2005 20:31:02 by <strong><a href="http://www.artefact.tk/software/matlab/m2html/" target="_parent">m2html</a></strong> © 2005</address>
</body>
</html>⌨️ 快捷键说明
复制代码
Ctrl + C
搜索代码
Ctrl + F
全屏模式
F11
切换主题
Ctrl + Shift + D
显示快捷键
?
增大字号
Ctrl + =
减小字号
Ctrl + -