3D Modeling of Optically Challenging Objects

Abstract

Abstract-We present a system for constructing 3D models of real-world objects with optically challenging surfaces. The system utilizes a new range imaging concept called multipeak range imaging, which stores multiple candidates of range measurements for each point on the object surface. The multiple measurements include the erroneous range data caused by various surface properties that are not ideal for structured-light range sensing. False measurements generated by spurious reflections are eliminated by applying a series of constraint tests. The constraint tests based on local surface and local sensor visibility are applied first to individual range images. The constraint tests based on global consistency of coordinates and visibility are then applied to all range images acquired from different viewpoints. We show the effectiveness of our method by constructing 3D models of five different optically challenging objects. To evaluate the performance of the constraint tests and to examine the effects of the parameters used in the constraint tests, we acquired the ground-truth data by painting those objects to suppress the surface-related properties that cause difficulties in range sensing. Experimental results indicate that our method significantly improves upon the traditional methods for constructing reliable 3D models of optically challenging objects.

Three-dimensional digitization of highly reflective and transparent objects using multi-wavelength range sensing

“…The false measurements caused by mutual reflections are eliminated by iteratively testing if local smoothness and global consistency are preserved. In Park [18], the method is improved by performing changes in the tests applied to evaluate the effects of the parameters used. The elimination process of false measurements is achieved in two stages.…”

A low-power structured light sensor for outdoor scene reconstruction and dominant material identification

“…We also show that the removal of ambient light allows the measurement of visual effects, such as caustics, and can lead to classification of a scene's dominant material property. In the future, we would like to exploit multiple viewpoints (similar to [22]) to show reconstruction of objects with complex materials. Figure 10.…”

Structured light 3D scanning in the presence of global illumination

“…Park et al . [15] move the camera or the scene to mitigate the errors due to global illumination in a structured light setup. Hermans et al [9] use a moving projector in a variant of structured light triangulation.…”

“…In comparison, Ref. [19] requires a large number of iterations (10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20) and images (500-800). This is because it uses conventional Gray codes, which do not prevent errors in the first place.…”