Scientists have found the new algorithm, which is capable of converting the shelf digital cameras and smartphones into high quality 3D scanners.
Mostly these types of high quality 3D scanner images captures by using a technique which is known as structured light. In this technique, projector casts a series of light patterns on an object, while a camera captures the image of an object. In applying this technique, the pattern projector and the camera have to be precisely synchronized, which requires expensive and specialized hardware’s.
Gabriel Taubin, a professor at Brown University in US said that, “One of the things my lab has been focusing on is getting 3D image capture from relatively low-cost components. The 3D scanners on the market today are either very expensive, or are unable to do high-resolution image capture, so they can’t be used for applications where details are important.”
The ways in which those patterns over and around an object can be used to render a 3D image. The freshly developed algorithm by the researchers enables the structured light technique to be done without synchronization between projector and camera, which means an off-the shelf camera can be used with an untethered structured light flash.
Daniel Moreno, a graduate student at Brown University, said that, “We can't use an image that has a mixture of patterns. So with the algorithm, we can synthesize images - one for every pattern projected - as if we had a system in which the pattern and image capture were synchronized."
For capturing the burst images from the camera, the algorithm calibrates the timing of the image sequence using the binary information embedded in the projected form. After the completion of the calibration process, the images go through pixel to pixel to assemble a new sequence of images.
After assembling the complete patterns of image, a standard structured light 3D reconstruct the algorithm for crating the single 3D image of the object or space.
