Hamming Color Code for Dense and Robust One-shot 3D Scanning

Yamazaki, S.; Nukada, Akira; Mochimaru, Masaaki

doi:10.5244/c.25.96

Cited by 10 publications

(5 citation statements)

References 12 publications

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“…Therefore, we adapted the traditional SGM algorithm to accommodate this new observation. In practice, a new penalty term is defined, as given in Equation (15), to alleviate this kind of bias. In this case, equal penalties were utilized for unchanged disparities and disparities that change only one pixel.…”

Section: Stereo Matching Based On An Improved Sgmmentioning

confidence: 99%

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Single-Shot Structured Light Sensor for 3D Dense and Dynamic Reconstruction

Song

Zhao

2020

Sensors

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Structured light (SL) has a trade-off between acquisition time and spatial resolution. Temporally coded SL can produce a 3D reconstruction with high density, yet it is not applicable to dynamic reconstruction. On the contrary, spatially coded SL works with a single shot, but it can only achieve sparse reconstruction. This paper aims to achieve accurate 3D dense and dynamic reconstruction at the same time. A speckle-based SL sensor is presented, which consists of two cameras and a diffractive optical element (DOE) projector. The two cameras record images synchronously. First, a speckle pattern was elaborately designed and projected. Second, a high-accuracy calibration method was proposed to calibrate the system; meanwhile, the stereo images were accurately aligned by developing an optimized epipolar rectification algorithm. Then, an improved semi-global matching (SGM) algorithm was proposed to improve the correctness of the stereo matching, through which a high-quality depth map was achieved. Finally, dense point clouds could be recovered from the depth map. The DOE projector was designed with a size of 8 mm × 8 mm. The baseline between stereo cameras was controlled to be below 50 mm. Experimental results validated the effectiveness of the proposed algorithm. Compared with some other single-shot 3D systems, our system displayed a better performance. At close range, such as 0.4 m, our system could achieve submillimeter accuracy.

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Section: Stereo Matching Based On An Improved Sgmmentioning

confidence: 99%

“…Spatially coded SL only demands a single shot, in which the codeword of each pattern feature is determined using its own values, along with those of all adjacent elements surrounding it. Gray level [14], color [15], and geometric shapes [16] are the most frequently adopted pattern element types in spatially coded SL.…”

Section: Introductionmentioning

confidence: 99%

Single-Shot Structured Light Sensor for 3D Dense and Dynamic Reconstruction

Song

Zhao

2020

Sensors

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“…Kawasaki et al [14] proposed a dense 3D reconstruction method using a single color code pattern for fast moving object; an entire shape acquisition system using multiple cameras and projectors [15] is realized based on such method. The 3D scanning system using Hamming color code [16] or De Bruijn sequence [17] are reported for fast and accurate measurement. Some other types light patterns that establish the correspondence using geometric constraints [18,19] are also proposed.…”

Section: Related Workmentioning

confidence: 99%

A fast 3D shape scanner using two HFR camera-projector systems

Chen¹,

Gu²,

Aoyama³

et al. 2015

Proceedings of the 2015 Conference on Advances in Robotics

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This paper reports on the development of a fast 3D shape scanner that can output 3D video at 250 fps using two highframe-rate camera-projector systems with an implementation of 10-bit Gray code light pattern encoded in both horizontal and vertical. The 3D data, which is extracted by the two camera-projector systems and accelerated by installing a GPU board for parallel processing of structured light illumination, are registered together to obtain an entire shape. To avoid the interference of projection patterns, the high-speed vision platform used in this paper is dedicated and improved for dual-camera frame-straddling by developing a hardware logics for the time delay control between the two cameras, while the two projectors are synchronized with the two cameras using impulse signal. The effectiveness is demonstrated through several 3-D shape measurements when several moving objects and static objects are observed by the proposed scanner.

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“…Structured light based shape reconstruction algorithms are divided into two categories: multi-shot [4,6,15] and single-shot methods [7,14,17]. Multi-shot methods can estimate per-pixel depth map for a wide range of objects using temporal coding of the illumination patterns but require the scene to be stationary during image acquisition.…”

Section: Introductionmentioning

confidence: 99%

Separating Texture and Illumination for Single-Shot Structured Light Reconstruction

Narasimhan

Sheikh

2014

2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops

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Active illumination based methods have a trade-off between acquisition time and resolution of the estimated 3D shapes. Multi-shot approaches can generate dense reconstructions but require stationary scenes. In contrast, singleshot methods are applicable to dynamic objects but can only estimate sparse reconstructions and are sensitive to surface texture. In this work, we develop a single-shot approach to produce dense reconstructions of highly textured objects.The key to our approach is an image decomposition scheme that can recover the illumination and the texture images from their mixed appearance. Despite the complex appearances of the illuminated textured regions, our method can accurately compute per pixel warps from the illumination pattern and the texture template to the observed image. The texture template is obtained by interleaving the projection sequence with an all-white pattern. Our estimated warping functions are reliable even with infrequent interleaved projection. Thus, we obtain detailed shape reconstruction and dense motion tracking of the textured surfaces. We validate the approach on synthetic and real data containing subtle non-rigid surface deformations.

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Hamming Color Code for Dense and Robust One-shot 3D Scanning

Cited by 10 publications

References 12 publications

Single-Shot Structured Light Sensor for 3D Dense and Dynamic Reconstruction

Single-Shot Structured Light Sensor for 3D Dense and Dynamic Reconstruction

A fast 3D shape scanner using two HFR camera-projector systems

Separating Texture and Illumination for Single-Shot Structured Light Reconstruction

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