Robohub.org
 

Appearance manipulation system changes the look of printed materials and objects


by
04 September 2013



share this:
Appearance manipulation system changes the look of printed materials and objects

Researchers at Wakayama University are developing a system that manipulates the color, tone and contrast of printed materials, and could be used as an aid for users with vision impairments such as low vision or color blindness.

“In this research, we use a projector and camera to freely manipulate the tone and contrast of printed materials like this, by shining light onto them.”

“Right now, white light from the projector is hitting the material. In this device, there’s a camera, which photographs the scene. By controlling the projected light based on the scene, we can make the colors more vivid, for example, like this. The way the system works is, to put it very simply: Blue light is projected onto blue parts, and red light onto red parts, making the colors more vivid.”

“By changing the image processing, we can change color tones as well, like this. We can also make the picture monochrome, make the brightness uniform, or increase the contrast.”

“The point about this technology is, this kind of processing can be done dynamically. In other words, even if the printed material is moved, the system can track it and emphasize the colors.”

“When the light is projected, the actual color tone changes. So, the camera captures the altered color tone. The problem with that is, you can no longer tell how many real colors there are, or how many colors should be projected next. In this research, the system calculates the physical reflectivity of the captured image and the projected image. That estimation is a major feature of this technology.”

“One possible application for this is augmenting human vision. For example, if a person is colorblind, this system could adjust color tones so colors can be distinguished, even if there are combinations of confusing colors. Or a person with cataracts could be helped to see other people’s expressions, by emphasizing outlines.”

Also, by arranging the camera and projector into the same position optically, this image processing technique can be applied to 3D objects as well.

“We’ve added a texture adjustment algorithm, to make opaque objects look semi-transparent, or emphasize their luster, to make them look metallic.”

“We’re currently looking for businesses that might have applications for this technology.”



tags: ,


DigInfo TV is a Tokyo-based online video news platform dedicated to producing original coverage of cutting edge technology, research and products from Japan.
DigInfo TV is a Tokyo-based online video news platform dedicated to producing original coverage of cutting edge technology, research and products from Japan.





Related posts :



Robot Talk Episode 137 – Getting two-legged robots moving, with Oluwami Dosunmu-Ogunbi

  12 Dec 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Oluwami Dosunmu-Ogunbi from Ohio Northern University about bipedal robots that can walk and even climb stairs.

Radboud chemists are working with companies and robots on the transition from oil-based to bio-based materials

  10 Dec 2025
The search for new materials can be accelerated by using robots and AI models.

Robot Talk Episode 136 – Making driverless vehicles smarter, with Shimon Whiteson

  05 Dec 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Shimon Whiteson from Waymo about machine learning for autonomous vehicles.

Why companies don’t share AV crash data – and how they could

  01 Dec 2025
Researchers have created a roadmap outlining the barriers and opportunities to encourage AV companies to share the data to make AVs safer.

Robot Talk Episode 135 – Robot anatomy and design, with Chapa Sirithunge

  28 Nov 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Chapa Sirithunge from University of Cambridge about what robots can teach us about human anatomy, and vice versa.

Learning robust controllers that work across many partially observable environments

  27 Nov 2025
Exploring designing controllers that perform reliably even when the environment may not be precisely known.



 

Robohub is supported by:




Would you like to learn how to tell impactful stories about your robot or AI system?


scicomm
training the next generation of science communicators in robotics & AI


 












©2025.05 - Association for the Understanding of Artificial Intelligence