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IN CAPS. An Intelligent Camera-Projection System Framework. Roberto Valenti Jurjen Pieters. Overview. The State of The Art What are we going to do The Framework First Year(s) Project Plan Examples References Equipment Costs Estimation. State of The Art. State of The Art.

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In caps


An Intelligent Camera-Projection System Framework

Roberto Valenti

Jurjen Pieters



  • The State of The Art

  • What are we going to do

  • The Framework

  • First Year(s) Project Plan

  • Examples

  • References

  • Equipment Costs Estimation

State of the art

State of The Art

State of the art1

State of The Art

State of the art2

State of The Art

State of the art3

State of The Art

The situation

The Situation






















What are we going to do

What are we going to do?

  • The scene needs a framework

    • Easier way to implement application

    • Interoperability

    • New possibilities (more on this later)

      The framework will extract information from “the world”, and will give the opportunity to select what is relevant

The framework

The Framework

Users or


Input Devices(Camera)


Input Analysis

Internal world



Picture Processing


Output Devices


The world as a source

The world as a source..

  • We have to represent the world internally to understand it better

  • Single components are not enough

  • All the input devices are used to sample the world on different aspects (a lot of information out there!)


The project planning

The Project Planning

  • First year: Research and tests of algorithms on multiple input devices, setup and tuning.

  • Second year: Have an efficient internal world representation.

  • Third year: Addition of multiple input/output devices, creation of API’s

Reality 2 digital

Reality 2 Digital

Reality 2 digital1

Reality 2 Digital

3d information extraction

3D Information Extraction

  • We have an internal world-map, we can specify rules (I.e. pedestrians)

  • Companies/Users can decide what is important (tumors, broken bones, road, traffic signs,components)

  • Possibility to apply further algorithms to subsets of world-data

  • Depending on the application, we can recognize and label objects, matching them with databases and ad-hoc algorithms

Digital 2 reality

The extracted information is displayed to the user in the most useful way, depending on the application.

Digital 2 Reality

Digital 2 reality examples

Digital 2 Reality: Examples

Pedestrian detection

Night Vision

Equipment costs estimation

Input Devices:

Stereo Camera


IR Night-viewer

Database System

Wireless Communication


Output Devices :

One or two out of:


VR glasses

Translucent screen


Equipment Costs Estimation

A very powerful computer, a car and ..

Total: ~30.000 €


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