Rapid shape acquisition using color structured light and multi-pass dynamic programming
By Li Zhang, Brian Curless, S. M. Seitz. Proceedings. First International Symposium on 3D Data Processing Visualization and Transmission, 2002
573 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/f2bf7dcd89d56f10dd2936c0511bfe59ce4e3cfd
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Aerospace Engineering
- Luc Van Gool
- Song Zhang
- Bastian Leibe
- Jason Geng
- X. Su
- Qican Zhang
- Sam Van der Jeught
- Joris J. J. Dirckx
In Computer Vision and Pattern Recognition
- Luc Van Gool
- Ming-Hsuan Yang
- Song Zhang
- Dacheng Tao
- Jitendra Malik
- Xiaogang Wang
- Andrew Zisserman
- Trevor Darrell
Citations in the corpus
- Kinect range sensing: Structured-light versus Time-of-Flight Kinect (2015, background): “[55] investigates the benefit of projection patterns composed of alternative color stripes creating color transitions that are matched with observed edges.”
- Spacetime stereo: a unifying framework for depth from triangulation (2005, background): “Another approach uses a primarily spatial coding, adding a small temporal window to better locate stripes [32].”
- Recent progresses on real-time 3D shape measurement using digital fringe projection techniques (2010, methodology): “Switching the fringe images by software as that used in other systems [7,29] is limited by the graphics card speed and they can only reach 60 frames/s switching speed.”
- Real-time structured light profilometry: a review (2016, methodology): “A 129 special color coded stripe sequence is based on the unique features of a De Bruijn sequence 130 [17,18].”
- Dynamic 3-D shape measurement method: A review (2010, methodology): “Several 3-D shape measurement methods based on 2-D fringe projected, including moiré technique (MT) [24–27], phase measuring profilometry (PMP) [28–32], Fourier transformation profilometry (FTP) [33–37], modulation measurement profilometry (MMP) [38–40], spatial phase detection (SPD) [41–43], color-”
- Toward a Practical Face Recognition System: Robust Alignment and Illumination by Sparse Representation (2012, background): “[33] for 3D reconstruction, but this is very disturbing to the user.”
- Spacetime stereo: shape recovery for dynamic scenes (2003, methodology): “We refer the readers to the related work sections in [8, 19] for a more complete review and summarize the most relevant research here.”
- High-resolution, real-time three-dimensional shape measurement (2006, unknown): “developed a color tructured light technique for high-speed scans of moving bjects.(8) Since these methods all use color to code the paterns, the shape measurement result is affected to various egrees by the variations of the object surface color.”
- Structured-light 3D surface imaging: a tutorial (2011, methodology): “If the number of stripes is too many, one can use a reduced set of a De Bruijn sequence by setting k = 5, n = 3 [35].”
- Fast 3D Scanning with Automatic Motion Compensation (2007, background): “Dynamic scenes are often handled by using one-shot techniques [11, 19].”
- Indoor scene segmentation using a structured light sensor (2011, unknown): “Although structured light methods for depth estimation have previously been proposed [25], and other hardware methods measuring scene depth exist, e.”
- Pattern codification strategies in structured light systems (2004, methodology): “Such problems could be partially solved by using dynamic programming [13].”