forked from uccser/cs-field-guide
-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathcsfg_computer_vision_intro.vtt
60 lines (43 loc) · 1.31 KB
/
csfg_computer_vision_intro.vtt
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
WEBVTT
NOTE
Computer Science Education Research,
University of Canterbury, New Zealand
Subtitle file for the video "Computer Science Field Guide: Computer Vision"
Author: Alasdair Smith
Date: 15/02/2017
00:00.000 --> 00:03.000
Computer Vision
<00:01.000>The idea of a computer being able to see
00:03.000 --> 00:05.000
is no longer science fiction.
00:05.000 --> 00:11.400
There are good methods available for recognising
where a face is in an image, or even who it might be.
00:11.400 --> 00:13.000
Recognising where abjects are in a scene
00:13.000 --> 00:16.400
makes it possible to navigate vehicles without
bumping into anything.
00:16.400 --> 00:22.200
That's especially important for things like
wheelchairs, robots or even a self-driving car.
00:22.200 --> 00:25.800
Analysing objects enables a system
to detect interesting features,
00:25.800 --> 00:30.200
such as the quality of fruit being packed.
00:31.800 --> 00:35.200
Or even a tumour in a medical scan.
00:35.200 --> 00:39.400
In this chapter, you'll look at Computer Vision
methods for things like:
00:39.400 --> 00:42.600
finding the edges around objects;
00:42.600 --> 00:45.400
recognising faces;
00:45.400 --> 00:48.000
recognising characters;
00:54.000 --> 00:57.600
and tracking objects moving through a scene.
00:57.600 --> 00:59.400
Computer Vision