Data input model for virtual reality-aided facility layout

Zetu, Dan; Banerjee, Prashant; Schneider, P.

doi:10.1080/07408179808966505

Cited by 10 publications

(8 citation statements)

References 34 publications

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“…There are existing methods for 3-D object reconstruction from 2-D data using stereo vision and telemetry-based depth recovery [13]- [15]. These methods help in reconstructing static 3-D objects from 2-D images.…”

Section: Previous Workmentioning

confidence: 99%

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Pattern Tracking and 3-D Motion Reconstruction of a Rigid Body From a 2-D Image Sequence

Dasgupta

Banerjee

2005

IEEE Trans. Syst., Man, Cybern. C

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This paper presents an integrated method to identify an object pattern from an image, and track its movement over a sequence of images. The sequence of images comes from a single perspective video source, which is capturing data from a precalibrated scene. This information is used to reconstruct the scene in three-dimension (3-D) within a virtual environment where a user can interact and manipulate the system. The steps that are performed include the following: i) Identify an object pattern from a two-dimensional perspective video source. The user outlines the region of interest (ROI) in the initial frame; the procedure builds a refined mask of the dominant object within the ROI using the morphological watershed algorithm. ii) The object pattern is tracked between frames using object matching within the mask provided by the previous and next frame, computing the motion parameters. iii) The identified object pattern is matched with a library of shapes to identify a corresponding 3-D object. iv) A virtual environment is created to reconstruct the scene in 3-D using the 3-D object and the motion parameters. This method can be applied to real-life application problems, such as traffic management and material flow congestion analysis.Index Terms-Edge detection, morphological operators, object matching, region of interest.

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Section: Previous Workmentioning

confidence: 99%

“…Suppose is a vector in (the pixel coordinates in a frame are vectors with zero components). If is to be rotated by an angle (counterclockwise) about the axis defined by a vector , it has to be operated upon by a quaternion as follows: (14) where (15) (16) Fig. 11.…”

Section: A Situations Encountered During Video Capturementioning

confidence: 99%

Pattern Tracking and 3-D Motion Reconstruction of a Rigid Body From a 2-D Image Sequence

Dasgupta

Banerjee

2005

IEEE Trans. Syst., Man, Cybern. C

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“…But the focal length might be a factor on overall errors, especially if the camera undergoes small mechanical or thermal changes that are beyond the control of the user. The contributions of this paper over [33] are usage of the hybrid tracker instead of the magnetic tracker to increase the range of camera motion and the design of a Kalman filter for depth estimation that offers the capability for focal length autocalibration. This technique is, to the best of our knowledge, the only one that enables full-scale reconstruction of 3-D models from stereo images and accurate registration between a virtual and a real environment and is far simpler mathematically and therefore easier to implement than camera self-calibration techniques described in [22] and [34].…”

Section: Application To 3-d Factory Object Reconstruction From Cammentioning

confidence: 99%

“…In such cases, a stereo vision-based technique could be used for building the VR environment from a sequence of 2-D images. In [33], we described a prototype architecture and tool kit, called MIRRORS (Methodology of Inputting Raw Recordings into 3-D Object Renderings for Stereo), designed for performing such tasks. The first version of MIRRORS was based on using a magnetic tracker (Ascension Technologies Flock of Birds) for camera self-calibration.…”

Section: Application To 3-d Factory Object Reconstruction From Cammentioning

confidence: 99%

“…Using a magnetic tracker for camera self-calibration limits severely the range of camera motion. On the other hand, a tracking system can calibrate only the extrinsic parameters of the camera while the intrinsic parameters are assumed to remain constant (for a description of camera parameters to be calibrated, the reader is referred to [30], [11], and [33]). As other researchers have also reported [30], [34], assuming some of the intrinsic parameters constant (in particular, the principal point) does not inflict serious errors on depth computation.…”

Section: Application To 3-d Factory Object Reconstruction From Cammentioning

confidence: 99%

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Extended-range hybrid tracker and applications to motion and camera tracking in manufacturing systems

Zetu

Banerjee

Thompson

2000

IEEE Trans. Robot. Automat.

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Extended-or long-range tracking effectiveness is crucial for the automation of manufacturing systems. In this paper, we conceptualize and develop a prototype long-range hybrid tracker based on a combination of a laser tracker and a magnetic tracker and apply the concept to the following two applications: 1) extended-range human motion tracking on factory floors and 2) factory floor object reconstruction from camera images. The easily portable system not only utilizes the strengths of a laser tracker in tracking mobile objects over long ranges in large environments, such as a manufacturing shop floor and the strength of a magnetic tracker to compensate for violation of line-of-sight constraint, but it also reduces the overall cost by reducing the number of expensive beacons required by the laser tracker. The hybrid tracker assists in the development of two concepts: 1) real-time synchronization of human head and hand motion in a manufacturing environment with those of an avatar in a virtual manufacturing environment and 2) a mathematically simpler and practical camera self-calibration technique for the creation of three-dimensional objects in a virtual environment from camera images.

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