Multi-projector color structured-light vision

Abstract

Research interest in rapid structured-light imaging has grown increasingly for the modeling of moving objects, and a number of methods have been suggested for the range capture in a single video frame. The imaging area of a 3D object using a single projector is restricted since the structured light is projected only onto a limited area of the object surface.Employing additional projectors to broaden the imaging area is a challenging problem since simultaneous projection of multiple patterns results in their superposition in the lightintersected areas and the recognition of original patterns is by no means trivial. This paper presents a novel method of multi-projector color structured-light vision based on projectorcamera triangulation. By analyzing the behavior of superposed-light colors in a chromaticity domain, we show that the original light colors cannot be properly extracted by the conventional direct estimation. We disambiguate multiple projectors by multiplexing the orientations of projector patterns so that the superposed patterns can be separated by explicit derivative computations. Experimental studies are carried out to demonstrate the validity of the presented method. The proposed method increases the efficiency of range acquisition compared to conventional active stereo using multiple projectors.

Removal of noise and radial lens distortion during calibration of computer vision systems

“…(1), to our best knowledge, the proposed pattern modeling method is the only method so far that could remove the noise completely while the state of art computer vision systems [14][15][16][17][18][19] are trying to reduce the noise through filtering and average of multiple patterns.…”

“…In most cases [11][12][13][14][15][16][17][18][19][20], the designed patterns keep the distances between adjacent markers the same for convenience. In this section, we propose a 3D pattern modeling method to eliminate the noise based on the distances between the center marker and the other markers.…”

“…This paper mainly deals with the noise of projector calibration and camera calibration in the structured light scanning system [11][12][13][14][15][16][17][18][19]. The structured light scanning methods [11][12][13][14][15][16][17][18][19] project some designed patterns onto the surface of the object to be measured. From the distorted pattern, the surface's profile could be calculated based on the system parameters calculated from a set of calibrated markers.…”

Multi-Projector Multi-Camera Structured Light 3D Body Scanner

“…There are two approaches to using multiple projectors in a SL scanner: (1) projectors are employed sequentially in turns [6,7,8] and (2) projectors are employed simultaneously [9,10,11,12,13,14]. The first approach completely avoids the interference problem at the cost of extended scanning time which grows linearly with the number of projectors.…”

A one-shot-projection method for measurement of specular surfaces

“…Most traditional 3D reconstruction methods fail in these situations because their working principles rely on the facts that the objects in the scene are made of diffusive (Lambertian) surfaces. For structured light methods [1][2][3][4], well-designed patterns are reflected by the specular surfaces onto a diffusive plane or onto the image plane of the camera directly. The distortion of the pattern caused by one specific point is determined by both the height and the surface normal of that point.…”