Many configurations were tested using different camera positions and different distances from the projector to the target object. These photos and the mentioned patterns are then processed by the application to generate a cloud of points that represents the retrieved 3D geometry. The goal was to obtain three photos projecting the three-phase patterns seen in the link above. The second experiment was scanning objects using the structured light technique. This last automatic approach is what we want to achieve. Then this virtual model is adjusted with the real one. In others like vvvv the definition of the geometry is needed to generate the virtual model. Programs like modul8 map the images to the geometry manually. This first mapping was manually performed. That lead us to think that we could accomplish the goal of project over real 3D structures using simplified 2D representations of that 3D object. Remark: The deformed planes in the 3D software didn't represent the shape of the walls but a planar deformed shape that matches the projection. Then the corner vertices were manually adjusted until the projected images looked undeformed on the walls. With a 3D software two textured planes were created simulating the target planes. The projector was not aligned with any of these walls so any planar projection resulted in deformed images. The goal of this experiment was to project two different images on two perpendicular walls (a corner of the room). Last Saturday we could finally get a projector and started making the first experiments of mapping and scanning. Photos of the scenes - discontinuous and continuous This is what we'll be working on the next weeks. Other pattern codifications and algorithms not so based on real-time can return better results for these type of scenes. However, it wasn't true that SL is inappropriate for discontinuous shapes. So if two surfaces are disconnected, it cannot determine how they are related depth-wise. It was true that the experiment performed wasnt suitable for discontinuous shapes because it uses phase-shifting scanning based on the principle of propagating depth values across a surface. The SL-applet had no trouble generating the 3d geometry.Īfter getting these results we asked the creator of the applet for confirmation on our early conclusion and we got a response. We faced a lot of problems with this apparently simple scene and that made us think that structured light wasnt suitable for discontinuous shapes, so we built a complex but continuous geometry by wrapping the scene with a piece of cloth. It does not store any personal data.A third experiment with structured light was performed trying to scan a simple and very used scene in the video-mapping field: a group of primitive shapes. The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. The cookie is used to store the user consent for the cookies in the category "Performance". This cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary". The cookie is used to store the user consent for the cookies in the category "Other. The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional". The cookie is used to store the user consent for the cookies in the category "Analytics". These cookies ensure basic functionalities and security features of the website, anonymously. Necessary cookies are absolutely essential for the website to function properly.
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