Comparison of Active Structure Lighting Mono and Stereo Camera Systems: Application to 3D Face Acquisition

Abstract

In this paper, we compare three structured lighting techniques (Gray Code, Gray Code Shift and Stripe Boundary) using mono or stereo camera systems to assess 3D reconstruction for human faces. The calibration technique specific to each system is described. The different algorithms were assessed quantitatively and qualitatively with respect to benchmark data obtained from a high precision 3D scanner. We demonstrate that although a mono camera system coupled to a LCD projector runs faster and at lower cost, the stereo camera system aided by structure lighting generates more accurate results.

A Simple Method for 3-Dimensional Photorealistic Modeling and Consideration of Reconstructing Error

“…According to the Table 5, we have a satisfactory result as accuracy with two cameras has improved ±0.5mm, as compared with one camera. Stereo matching with two camera proposed here, shows higher accuracy than reference [2].…”

Multiview registration-based handheld 3D profiling system using visual navigation and structured light

“…The proposed handheld profiling system consists of a stereo camera and a noncalibrated illumination projector used for the 3D modeling, which is different from the camera-projector-based systems [1] . The 3D sensing systems [3,5,[15][16][17][18] are related to the proposed 3D handheld scanning system and are used for the single-view 3D reconstruction. We have previously reported a procedure for the 3D reconstruction for variable zoom using stereo vision and structured light [5] , but it was based only on the single-view 3D reconstruction; the hardware was optimized for zoom lens calibration, and the zoom lens control system was designed based on digital image processing and microcontroller.…”