Range data acquisition using color structured lighting and stereo vision

Chen, Chu-Song; Hung, Yi‐Ping; Chiang, Chiann-Chu; Wu, Ja-Ling

doi:10.1016/s0262-8856(96)01148-1

Cited by 99 publications

(52 citation statements)

References 9 publications

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“…In 1997, Chen et al presented a range sensor based on two cameras and an LCD projector [27]. The latter projected a unique pattern in order to ease the search for correspondences along pairs of epipolar lines.…”

Section: Strategies Based On Non-formal Codiÿcationmentioning

confidence: 99%

Pattern codification strategies in structured light systems

Salví

Pagès

Batlle

2004

Pattern Recognition

997

491

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Coded structured light is considered one of the most reliable techniques for recovering the surface of objects. This technique is based on projecting a light pattern and viewing the illuminated scene from one or more points of view. Since the pattern is coded, correspondences between image points and points of the projected pattern can be easily found. The decoded points can be triangulated and 3D information is obtained. We present an overview of the existing techniques, as well as a new and deÿnitive classiÿcation of patterns for structured light sensors. We have implemented a set of representative techniques in this ÿeld and present some comparative results. The advantages and constraints of the di erent patterns are also discussed.

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Section: Strategies Based On Non-formal Codiÿcationmentioning

confidence: 99%

Pattern codification strategies in structured light systems

Salví

Pagès

Batlle

2004

Pattern Recognition

997

491

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“…Rapid advances in photonic technology 28,29 accompanied by similar progress in computerized modelling 30,31 34,35 Such apparatus captures highly accurate and detailed information in the form of raw point cloud data, and then uses computerized algorithms to reconstruct surface topography. The technology is revolutionizing the categorization of clothing sizes, and the preparation of made-to-measure garments using robotic technology.…”

Section: Photonic Scanningmentioning

confidence: 99%

Whole-body three-dimensional photonic scanning: a new technique for obesity research and clinical practice

2007

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Information on body shape has long been used in categorizing and monitoring obesity. Alongside abdominal circumferences, recent studies further emphasize the value of indices such as sagittal diameter adjusted for thigh girth in categorizing cardiovascular risk. Whole-body three-dimensional photonic scanning has rapidly emerged as a new technology for digital anthropometric measurement. Photonic scanners capture sophisticated raw data on body surface topography in a few seconds, from which extensive body shape information can be extracted using computer algorithms. Photonic scanning now has the potential to play a key role in (1) categorizing obesity (including childhood screening), (2) ranking abdominal size and shape in large-scale epidemiological studies, (3) monitoring individual patients to evaluate treatment efficacy and (4) estimating surface area for drug dosage calculations. New statistical modeling techniques offer the opportunity to develop novel parameters of body shape for linking with biological health outcomes. The low cost, accuracy, ease of use and high acceptability of the technique make it highly suitable for both research and clinical applications.

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“…Now, the problem of finding correspondences is transformed into a problem of finding an optimal path on the 2D search plane. The definition of path cost and the algorithm for finding optimal path is the same as that introduced in [8].…”

Section: Intra-/inter-scanline Matchingmentioning

confidence: 99%

“…Edge-based inter-scanline match-consistency is used to refine the results obtained by the intrascanline search. Here, the principle used for inter-scanline match-consistency is a "winner-take-all" scheme, same as the one introduced in [8].…”

Section: Intra-/inter-scanline Matchingmentioning

confidence: 99%

“…Generally speaking, local methods are faster than global ones, but usually produce more incorrect matches than the global ones do. In our system, we first use a global method (i.e., the intra-/inter-scanline matching method [8,23]) to find a good initial DTM in the coarsest level of Pass 1, and then use a local method (i.e., the hierarchical blockmatching method) to refine the DTM in the subsequent finer levels of Pass 1. For Pass 2 and the following passes, only the block-matching method are adopted in order to save computation time (of course, without degrading the matching performance).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Multipass hierarchical stereo matching for generation of digital terrain models from aerial images

Hung

Chen

Hung

et al. 1998

Machine Vision and Applications

Self Cite

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Abstract. This paper presents a new multi-pass hierarchical stereo-matching approach for generation of digital terrain models (DTMs) from two overlapping aerial images. Our method consists of multiple passes which compute stereo matches with a coarse-to-fine and sparse-to-dense paradigm. An image pyramid is generated and used in the hierarchical stereo matching. Within each pass, the DTM is refined by using the image pyramid from the coarse to the fine level. At the coarsest level of the first pass, a global stereo-matching technique, the intra-/inter-scanline matching method, is used to generate a good initial DTM for the subsequent stereo matching. Thereafter, hierarchical block matching is applied to image locations where features are detected to refine the DTM incrementally. In the first pass, only the feature points near salient edge segments are considered in block matching. In the second pass, all the feature points are considered, and the DTM obtained from the first pass is used as the initial condition for local searching. For the passes after the second pass, 3D interactive manual editing can be incorporated into the automatic DTM refinement process whenever necessary. Experimental results have shown that our method can successfully provide accurate DTM from aerial images. The success of our approach and system has also been demonstrated with a flight simulation software.

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Range data acquisition using color structured lighting and stereo vision

Cited by 99 publications

References 9 publications

Pattern codification strategies in structured light systems

Pattern codification strategies in structured light systems

Whole-body three-dimensional photonic scanning: a new technique for obesity research and clinical practice

Multipass hierarchical stereo matching for generation of digital terrain models from aerial images

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