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 :



Apertus: a fully open, transparent, multilingual language model

  11 Sep 2025
EPFL, ETH Zurich and the Swiss National Supercomputing Centre (CSCS) released Apertus today, Switzerland’s first large-scale, open, multilingual language model.

Robots to the rescue: miniature robots offer new hope for search and rescue operations

  09 Sep 2025
Small two-wheeled robots, equipped with high-tech sensors, will help to find survivors faster in the aftermath of disasters.

#IJCAI2025 distinguished paper: Combining MORL with restraining bolts to learn normative behaviour

and   04 Sep 2025
The authors introduce a framework for guiding reinforcement learning agents to comply with social, legal, and ethical norms.

Researchers are teaching robots to walk on Mars from the sand of New Mexico

  02 Sep 2025
Researchers are closer to equipping a dog-like robot to conduct science on the surface of Mars

Engineering fantasy into reality

  26 Aug 2025
PhD student Erik Ballesteros is building “Doc Ock” arms for future astronauts.

RoboCup@Work League: Interview with Christoph Steup

and   22 Aug 2025
Find out more about the RoboCup League focussed on industrial production systems.

Interview with Haimin Hu: Game-theoretic integration of safety, interaction and learning for human-centered autonomy

and   21 Aug 2025
Hear from Haimin in the latest in our series featuring the 2025 AAAI / ACM SIGAI Doctoral Consortium participants.

AIhub coffee corner: Agentic AI

  15 Aug 2025
The AIhub coffee corner captures the musings of AI experts over a short conversation.



 

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