Abstract
The 3D measuring range and accuracy in traditional active optical sensing, such as Fourier transform profilometry, are influenced by the zero frequency of the captured patterns. The phase-shifting technique is commonly applied to remove the zero component. However, this phase-shifting method must capture several fringe patterns with phase difference, thereby influencing the real-time performance. This study introduces a smart active optical sensor, in which a composite pattern is utilized. The composite pattern efficiently combines several phase-shifting fringes and carrier frequencies. The method can remove zero frequency by using only one pattern. Model face reconstruction and human face measurement were employed to study the validity and feasibility of this method. Results show no distinct decrease in the precision of the novel method unlike the traditional phase-shifting method. The texture mapping technique was utilized to reconstruct a nature-appearance 3D digital face.
Highlights
The accurate acquisition of 3D face appearance characteristics is important to plan facial contouring surgery, and excellent work is based on an exact 3D face modeling [1,2]
Passive optical 3D sensing techniques, such as stereo vision, utilize two or more camera systems to capture a scene in ambient light from different viewpoints
A human face model was utilized as a tentative test to demonstrate the feasibility of this
Summary
The accurate acquisition of 3D face appearance characteristics is important to plan facial contouring surgery, and excellent work is based on an exact 3D face modeling [1,2]. Passive optical 3D sensing techniques, such as stereo vision, utilize two or more camera systems to capture a scene in ambient light from different viewpoints. They determine the height by matching the image features of the corresponding surface features. Along with the development of computing techniques, the arithmetic speed is no longer a key limiting factor, and the passive optical face reconstruction; for example, American scholars Alex J. Yuffa and his team proposed an interesting
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