Fourth International Conference on 3-D Digital Imaging and Modeling, 2003. 3DIM 2003. Proceedings.
DOI: 10.1109/im.2003.1240257
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Recursive model optimization using ICP and free moving 3D data acquisition

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Cited by 20 publications
(12 citation statements)
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“…In [12] a simplified model estimation using the unity motion compensation matrix I D = i was presented. In this paper, the compensation matrix i D is also estimated by calculating the speed and the motion acceleration.…”
Section: Model Creationmentioning
confidence: 99%
See 1 more Smart Citation
“…In [12] a simplified model estimation using the unity motion compensation matrix I D = i was presented. In this paper, the compensation matrix i D is also estimated by calculating the speed and the motion acceleration.…”
Section: Model Creationmentioning
confidence: 99%
“…In [12], the algorithm started with a low-resolution 128x128 raster image. Here the image is completely reconstructed from a single profile at the same time tracking is performed.…”
Section: Experimentation Object Modelingmentioning
confidence: 99%
“…Figure 1 depicts the optical geometry of an optical probe (single 3D point) based on triangulation. In order to capture a 3D surface map, a laser spot is scanned onto a scene by way of accurate deflecting mirrors [3,[10][11].…”
Section: Requirements For Laser-based Systemsmentioning
confidence: 99%
“…The position sensors (PS) proposed here will become an integral part of our future intelligent digitizers that will be capable of measuring accurately and at high data rate registered color (reflectance) and 3D coordinates. This, in turns, will accelerate the development of multiresolution hand-held 3D cameras with fast search/track capabilities [2][3]. VLSI integration of the range detection functions will be required to achieve the benefits of miniaturization.…”
Section: Introductionmentioning
confidence: 99%
“…Although interesting work has been published [2,7,9,11] there were no complete real-time modeling systems due to the computational complexity with respect to the quantity of measured data which can be as large as several billion 3D points. To be able to handle the 3D data in real-time, each step in an interactive modeling system has to be of linear computational complexity.…”
Section: Introductionmentioning
confidence: 99%