tracking
Version:
A modern approach for Computer Vision on the web.
74 lines (61 loc) • 1.85 kB
HTML
<html>
<head>
<meta charset="utf-8">
<title>tracking.js - feature detection</title>
<link rel="stylesheet" href="assets/demo.css">
<script src="../build/tracking-min.js"></script>
<script src="../../dat-gui/build/dat.gui.min.js"></script>
<style>
.demo-container {
background: #131112;
}
#image {
position: absolute;
left: -1000px;
top: -1000px;
}
#canvas {
position: absolute;
left: 50%;
top: 50%;
margin: -200px 0 0 -200px;
}
</style>
</head>
<body>
<div class="demo-title">
<p><a href="http://trackingjs.com" target="_parent">tracking.js</a> － detect feature points on a image</p>
</div>
<div class="demo-frame">
<div class="demo-container">
<img id="image" src="assets/fast.png" />
<canvas id="canvas" width="400" height="400"></canvas>
</div>
</div>
<script>
window.onload = function() {
var width = 400;
var height = 400;
var canvas = document.getElementById('canvas');
var context = canvas.getContext('2d');
var image = document.getElementById('image');
window.fastThreshold = 10;
var doFindFeatures = function() {
tracking.Fast.THRESHOLD = window.fastThreshold;
context.drawImage(image, 0, 0, width, height);
var imageData = context.getImageData(0, 0, width, height);
var gray = tracking.Image.grayscale(imageData.data, width, height);
var corners = tracking.Fast.findCorners(gray, width, height);
for (var i = 0; i < corners.length; i += 2) {
context.fillStyle = '#f00';
context.fillRect(corners[i], corners[i + 1], 3, 3);
}
};
doFindFeatures();
var gui = new dat.GUI();
gui.add(window, 'fastThreshold', 0, 100).onChange(doFindFeatures);
}
</script>
</body>
</html>