How to apply Image Processing and Computer Vision wih MATLAB : Japanese MATLAB EXPO 2013

Script used in MATLAB EXPO 2013 in Japan on Oct. 29, 2013
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Updated Thu, 01 Sep 2016 15:25:36 +0000

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Three demos were presented in the seminar of "How to apply image processing and computer vision with MATLAB" held in MATLAB EXPO 2013 in Japan
- Count the number of each nuts
(demo1\blob_EXPO2013.m)
There are five kinds of objects (nuts, almond, corn etc) in the picture. This demo shows how to distinguish each one and count the number of them using morphology processing, blob analysis, color space conversion, machine learning etc.

The same folder also contains a demo counting objects attached each other.
(demo1\Segmentation_Watershed.m)

- Augumented Reality demo
(demo2\myAR_EXPO2013_show.m)
Shooting a picture (white bear) on the wall and in the viewer on the MATLAB the bear plays on the ice. Even if camera moves (right/left, near/far) the bear is still playing at the place of still picture.
This script demonstrates local feature matching, point tracker, video stream processing
(Due to limitation of the file size, movie files are not included)

- Quick Demo using Kinect
(kinect\myKinectDemo_2013b.m)
Measure the length of a bar.
hold the bar with your open palms.
even if the bar leans against the camera, i.e., the length on the image is shrunk, the length is measured correctly. See the screen shot, which is 100cm bar and detected as 101cm

Cite As

Masa Otobe (2024). How to apply Image Processing and Computer Vision wih MATLAB : Japanese MATLAB EXPO 2013 (https://www.mathworks.com/matlabcentral/fileexchange/44214-how-to-apply-image-processing-and-computer-vision-wih-matlab-japanese-matlab-expo-2013), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2013b
Compatible with any release
Platform Compatibility
Windows macOS Linux

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script_EXPO2013_IPCV_adv/demo1/

script_EXPO2013_IPCV_adv/demo2/

script_EXPO2013_IPCV_adv/kinect/

Version Published Release Notes
1.0.0.1

Updated license

1.0.0.0