F. W. DePiero and M. M. Trivedi. 3-d computer vision using structured light: Design, calibration, and implementation issues. Advances in Computers, 43:243-- 278, 1996. Home/Search Document Not in Database Summary Related Articles Check |
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On Combining Shape from Silhouette and Shape from.. - Tosovic, Sablatnig, Kampe (2002) (Correct)
....a method which constructs a surface model of an object based on projecting a sequence of well defined light patterns onto the object. The patterns can beintheformofcodedlightstripes[11]orarayorplaneoflaserlight[13] The3Dcoordinates ofthepointsontheobject ssurfacearerecoveredusingactivetriangulation[3,9]. There have been many works on construction of 3D models of objects from multiple views. Baker[1]usedsilhouettesofanobjectrotatingonaturntabletoconstructawire framemodel oftheobject.MartinandAggarwal[14]constructedvolumesegmentmodelsfromorthographic ....
F.W. DePiero and M.M. Trivedi. 3-D computer vision using structured light: Design, calibration, and implementation issues. Advances in Computers, 43:243--278, 1996.
Automated Archivation System for Pottery - Martin Kampel And (Correct)
....This will enable it to publish both the profile of the sherd and a virtual reconstruction of the whole vessel. Data Acquisition The acquisition system consists of a LCD640 projector and a CCD camera. The acquisition method for estimating the 3d shape of a sherd is shape from structured light [PT96], which is based on active triangulation. The projector projects stripe patterns onto the surface of the objects (Fig. 2) In order to dis tinguish between stripes they are binary coded. The camera grabs gray level images of the distorted light patterns at different times. With the help of the ....
F. DePiero, M.Trivedi. 3-D computer vision using structured light: Design, calibration, and implementation issues, Advances in Computers, 43:243-278, 1996.
Fusion of Surface and Volume Data - Kampel, Sablatnig, Tosovic (2002) (Correct)
....Federal Ministry of Education, Science and Culture. chaeological vessels do have concavities that have to be modeled. Therefore, a second, active shape determination method has to be used to discover all concavities. The second acquisition method used is SfL, based on active triangulation [3, 4]. There have been many works on construction of 3d models of objects from multiple views. Baker [1] used silhouettes of an object rotating on a turntable to construct a wire frame model of the object. Martin and Aggarwal [10] constructed volume segment models from orthographic projection of ....
F.W. DePiero and M.M. Trivedi. 3-D computer vision using structured light: Design, calibration, and implementation issues. Advances in Computers, 43:243--278, 1996.
Nonlinear Calibration of a Laser Stripe Profiler - McIvor (2001) (3 citations) (Correct)
....is given by the distance from the camera optic centre to the point in the laser stripe plane along the ray through the camera image point. It is commonly referred to as height and forms a 1D function of the image coordinates. Estimating this function directly is the basis of several methods. In [8], the height is assumed to be a cubic function of image coordinates. A set of parallel planar surfaces (at di erent spacings o the motion table) are scanned. The parameters of the cubic are estimated from the known distance between the surfaces. In [9] a more sophisticated calibration target is ....
Fred W. DePiero and Mohan M. Trivedi. 3-D computer vision using structured light: Design, calibration and implementation issues. Advances in Computers, 43:243-278, 1995.
Adaptive 3D Acquisition using Laser Light - Liska, Sablatnig (2000) (Correct)
....showing the balance between surface resolution and amount of data. Finally, in Section 5 conclusions are drawn and future work is outlined. 2 Acquisition System The acquisition method used for estimating the 3d shape of objects is shape from structured light, based on active triangulation [1]. The camera is positioned between the two lasers facing the measurement area. The complete system consists of: a) Equipment 000 000 000 000 111 111 111 111 0 0 1 1 00 00 11 11 Laser 2 Laser 1 Camera d # # # (b) Arrangement Figure 1: Acquisition system. 1. 1 turntable with a diameter of 50 cm, ....
F. DePiero and M.Trivedi. 3-D computer vision using structured light: Design, calibration, and implementation issues. Advances in Computers, 1996.
Vision-based Tracking with Dynamic Structured Light for Video.. - Livingston (1998) (Correct)
....they fixed the depth of a single point. 2.3.4 Structured Light The current work proposes to determine correspondences by a simple variant of structured light that is, a single dot. Structured light, however, has long been used in computer vision to acquire depth information[Besl89, Daley95, DePiero96] dating back to at least 1932 [Schmaltz32] Note that this is before the advent of computers. In fact, structured light is rumored to have a 200 year history, although this is not verified [Daley95] A variety of patterns have been tried [Besl89] including points, lines, multiple points, ....
....we need to compute is the focal length, which we compute from the field of view. We assume that the aspect ratio is equal to the ratio of the image width to image height i.e. that the pixels are square. Camera calibration is a well studied and much larger topic in computer vision [Davies97, DePiero96, Faugeras93] Since the projector is geometrically equivalent, we can use the same principles to calibrate a projector as well. For our structured light system, we selected from the literature calibration techniques based on vanishing points [Wang90, Caprile90] 3.3.2.2 Calibration of Projector ....
DePiero, F. W. and Trivedi, M. M. (1996). 3-D Computer Vision using Structured Light: Design, Calibration, and Implementation Issues. Advances in Computers, 43:243--278.
Next View Planning for a Combination of Passive and.. - Sablatnig, Tosovic.. (Correct)
No context found.
F. W. DePiero and M. M. Trivedi. 3-d computer vision using structured light: Design, calibration, and implementation issues. Advances in Computers, 43:243-- 278, 1996.
A Next View Planning Technique for Shape from.. - Sablatnig, Tosovic.. (Correct)
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F. W. DePiero and M. M. Trivedi. 3-d computer vision using structured light: Design, calibration, and implementation issues. Advances in Computers, 43:243--278, 1996.
Octree-based Fusion of Shape from Silhouette and Shape from .. - Martin Kampel Srdan (Correct)
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F. DePiero and M. Trivedi. 3-D computer vision using structured light: Design, calibration, and implementation issues. Advances in Computers, 43:243--278, 1996.
Adaptive 3D Modeling of Objects by Combining Shape from.. - Tosovic (2002) (Correct)
No context found.
F. W. DePiero and M. M. Trivedi. 3-d computer vision using structured light: Design, calibration, and implementation issues. Advances in Computers, 43:243--278, 1996.
Dynamic Shadow Removal from Front Projection Displays - Christopher Jaynes Stephen (2001) (14 citations) (Correct)
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De Piero, F. and M. Trivedi, 3D Computer Vision using Structured Light: Design, Calibration, and Implementation Issues. Advanced in Computers, 1996. 43: p. 243-278.
Parametric Subpixel Matchpoint Recovery with Uncertainty.. - Steele, Jaynes (2003) (1 citation) (Correct)
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F. DePiero and M. Trivedi. 3d computer vision using structured light: design, calibration and implementation issues. Advanced Computing, 43:243--278, 1996.
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