Dense 3D reconstruction method using a single pattern for fast moving object

Sagawa, Ryusuke; Ota, Yuichi; Yagi, Yasushi; Furukawa, Ryo; Asada, Naoki; Kawasaki, Hiroshi

doi:10.1109/iccv.2009.5459397

Cited by 84 publications

(101 citation statements)

References 20 publications

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“…Most techniques using structured light patterns can be categorized as either time encoded or space encoded, with the latter being more suited to capturing dynamic objects. Space-encoded techniques can be divided further into techniques that use local spatial encoding of color [2], [20], [32] and techniques that use projector-camera geometry constraints to solve the correspondence of the feature points [1], [7]. Our work belongs to this second category, and we will therefore discuss some of the more relevant work here.…”

Section: Correspondence Matchingmentioning

confidence: 99%

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A Dynamic Geometry Reconstruction Technique for Mobile Devices Using Adaptive Checkerboard Recognition and Epipolar Geometry

Dao

Sugimoto

2011

IEICE Trans. Inf. & Syst.

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SUMMARYThis paper describes a technique for reconstructing dynamic scene geometry using a handheld video projector-camera system and a single checkerboard image as a structured light pattern. The proposed technique automatically recognizes a dense checkerboard pattern under dynamic conditions. The pattern-recognition process is adaptive to different light conditions and an object's color, thereby avoiding the need to set threshold values manually for different objects when the scanning device is moving. We also propose a technique to find corresponding positions for the checkerboard pattern, when displayed by a projector, without needing any position-encoding techniques. The correspondence matching process is based on epipolar geometry, enabling the checkerboard pattern to be matched even if parts of it are occluded. By using a dense checkerboard pattern, we can construct a handheld projector-camera system that can acquire the geometry of objects in real time, and we have verified the feasibility of the proposed techniques.

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Section: Correspondence Matchingmentioning

confidence: 99%

“…6, the labeling process that starts from a random origin point (0, 0) may result in inconsistency at points (3, 1), (3,2), and (3, 3). These errors can be detected by checking the consistency of the loops in the groups.…”

Section: Noise Filtering and Labeling Schemementioning

confidence: 99%

A Dynamic Geometry Reconstruction Technique for Mobile Devices Using Adaptive Checkerboard Recognition and Epipolar Geometry

Dao

Sugimoto

2011

IEICE Trans. Inf. & Syst.

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“…In some cases, space curves can be directly obtained from the acquisition process, e.g. line detection algorithm [4].…”

Section: Curve-based Representationmentioning

confidence: 99%

“…Especially, scanning systems based on structured light have been intensively studied in the acquisition of dynamic scene [1,3,4], recently. Structured-lightbased scanning is done by sampling the surface of an object with a known pattern (e.g.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Compression of Curve-Based Point Cloud

Daribo

Furukawa

Sagawa

et al. 2011

Advances in Image and Video Technology

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Abstract. With the increasing demands for highly detailed 3D data, dynamic scanning systems are capable of producing 3D+t (a.k.a. 4D) spatio-temporal models with millions of points recently. As a consequence, effective 4D geometry compression schemes are required to face the need to store/transmit the huge amount of data, in addition to classical static 3D data. In this paper, we propose a 4D spatio-temporal point cloud encoder via a curve-based representation of the point cloud, particularly well-suited for dynamic structured-light-based scanning systems, wherein a grid pattern is projected onto the surface object. The object surface is then naturally sampled in a series of curves, due to the grid pattern. This motivates our choice to leverage a curve-based representation to remove the spatial and temporal correlation of the sampled point along the scanning directions through a competitive-based predictive encoder that includes different spatio-temporal prediction modes. Experimental results show the significant gain obtained with the proposed method.

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“…These techniques use continuous varying pattern [2], stripe coding pattern [3][4][5], grid coding pattern [6,7], etc. To improve the robustness of these algorithms, color variation [3,5,7], certain symbols [4,8], and pseudo random property [5,7] have been adopted to code the pattern. However, the color pattern might be influenced by the textures of the scene.…”

Section: Introductionmentioning

confidence: 99%

Frequency-division-multiplexing based period-coded fringe pattern for reliable depth sensing

Yang

Shi

et al. 2018

J. Eur. Opt. Soc.-Rapid Publ.

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The fringe pattern can realize high-resolution and dense depth sensing. However, the phase ambiguity is a challenge in the fringe pattern. In this paper, one period-code pattern is embedded to the fringe pattern by the frequency-division-multiplexing (FDM) framework. The nonparametric skew and De Bruijn sequence are utilized to determine the label of the period. For a more reliable phase unwrapping, three criteria are utilized to rectify the period numbers further. Quantitative and qualitative experiments show that the proposed method can achieve more reliable depth sensing compared with the counterparts. Even the measured scene contains discontinuous surfaces or sharp edges, the proposed algorithm can attain reliable depth.

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Dense 3D reconstruction method using a single pattern for fast moving object

Abstract: Abstract

Cited by 84 publications

References 20 publications

A Dynamic Geometry Reconstruction Technique for Mobile Devices Using Adaptive Checkerboard Recognition and Epipolar Geometry

A Dynamic Geometry Reconstruction Technique for Mobile Devices Using Adaptive Checkerboard Recognition and Epipolar Geometry

Dynamic Compression of Curve-Based Point Cloud

Frequency-division-multiplexing based period-coded fringe pattern for reliable depth sensing

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