Szeliski, R. (1990). Real-Time Octree Generation from Rotating Objects. Cambridge, MA, DEC-Cambridge Research Laboratory. Home/Search Document Details and Download
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The Generation Of 3-D Models Without Camera Calibration - Gibson, Campbell, Thomas (1998) (Correct)
....a univariate optimisation based on a number of golden search functions [17] The number of unknowns is based on the above variables plus the number of images used. As the optimisation converges a first approximation of the camera calibration is obtained. Unlike other work, which has used octrees [18], pillars [15] or geometric techniques [14] 16] we have used a dynamically sized cube, centred at the origin and made up of 64 3 voxels for the volume representation. For each view, a cone is created by the object silhouette and the camera viewpoint. The centroid of each voxel is projected into ....
R. Szeliski, Real-Time Octree Generation from Rotating Objects, DEC, Cambridge Research Lab., Technical Report Series, 1990.
Active object modeling with VIRTUE - Lang, Jenkin (1999) (Correct)
....of a 3 D object with vision necessarily involves multiple views. In passive approaches to object recovery, views maybe chosen based on a pre set resolution and sampled exhaustively, e.g. an angle step size for an object placed on a turntable in front of a stationary sensor (Maver et al. 1994# Szeliski, 1990a, 1990b) If an object is sampled exhaustively, time is spent collecting redundant information: The generation of a sensing plan (Mason and Grun, 1995# Tarboxand Gottschlich, 1995) allows for faster sensing. For objects whicharenot c fl 1999 Kluwer Academic Publishers. Printed in the Netherlands. ....
R. Szeliski. Real-time octree generation from rotating objects. Technical Report 90/12, Digital Equipment Corporation,Cambridge Research Lab, December 1990.
Shape from Rotation - Szeliski (1990) (10 citations) Self-citation (Szeliski) (Correct)
....estimation was previously developed by Matthies et al. 1989] In this paper, we extend their work to true 3 D surface models. A simpler method for creating such models is to use the object silhouettes to carve out a bounding volume for the model (this method is presented in a companion report [Szeliski, 1990]) However, to obtain a more detailed description, we need to use the optic flow of the texture marks to give us a dense estimate of surface shape. Our new shape from rotation algorithm builds such a model, and also provides us with a framework within which we can explore a number of important ....
....et al. 1987] Volumetric models such as octrees [Jackins and Tanimoto, 1980; Meagher, 1982] have also been used. One popular approach to constructing such volumes has been to intersect multiple silhouettes of the 4 1 Introduction object seen from different views (see [Chen and Huang, 1988; Szeliski, 1990] for a review) In this paper, we will use locally parametrized deformable surface models. Our long term goal is to build higher level (parts) descriptions from these surfaces. The study of incremental shape from rotation is becoming particularly interesting because of the dramatic increase in ....
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R. Szeliski. Real-Time Octree Generation from Rotating Objects. Technical Report 90/12, Digital Equipment Corporation, Cambridge Research Lab, December 1990. For ordering information,please send a message to techreports@crl.dec.com with the word help in the Subject line.
Recovering 3D Shape and Motion from Image Streams using.. - Szeliski, Kang (1993) Self-citation (Szeliski) (Correct)
....can be seen from Figure 6a, which compares how quickly the estimated focal length settles to a constant value. We compared the recovered rotations using the least squares formulation with those extracted using a program that tracks and interprets the Gray coded pattern on the side of the turntable [Szeliski, 1990]. Our results indicate that the root mean squared (RMS) error in angle estimates between the two techniques is about 0:2 ffi (Figure 6b) It is unclear from these results which algorithm has a greater error in motion estimation, but the worst case RMS error of either algorithm is at most 0:2 ....
R. Szeliski. Real-Time Octree Generation from Rotating Objects. Technical Report 90/12, Digital Equipment Corporation, Cambridge Research Lab, December 1990.
A Point-Based Offsetting Method of Polygonal Meshes Yong Chen - Sr Software Engineer (Correct)
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Szeliski, R. (1990). Real-Time Octree Generation from Rotating Objects. Cambridge, MA, DEC-Cambridge Research Laboratory.
Real-Time Markerless Human Body Tracking with Multi-View 3-D .. - Caillette, Howard (2004) (Correct)
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R. Szeliski. Real-time octree generation from rotating objects. Technical Report 90/12, Digital Equipment Corporation, Cambridge Research Lab, December 1990.
Real-Time Markerless Human Body Tracking Using Colored.. - Caillette, Howard (2004) (Correct)
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R. Szeliski. Real-time octree generation from rotating objects. Technical Report 90/12, Digital Equipment Corporation, Cambridge Research Lab, 1990.
Stochastic Refinement of the Visual Hull to Satisfy.. - Isidoro, Sclaroff (2003) (4 citations) (Correct)
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R. Szeliski. Real-time octree generation from rotating objects. Technical Report 90/12, Digital Equipment Corporation, Cambridge Research Lab, 1990.
Stochastic Refinement of the Visual Hull to Satisfy.. - Isidoro, Sclaroff (2003) (4 citations) (Correct)
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R. Szeliski. Real-time octree generation from rotating objects. Technical Report 90/12, Digital Equipment Corporation, Cambridge Research Lab, 1990.
Unknown - (2003) (Correct)
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R. Szeliski. Real-time octree generation from rotating objects. Technical Report 90/12, Digital Equipment Corporation, Cambridge Research Lab, 1990.
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