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Browsing by Author "Hassanpour, R"

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    Article
    Citation - WoS: 9
    Citation - Scopus: 17
    Camera Auto-Calibration Using a Sequence of 2d Images With Small Rotations
    (Elsevier, 2004) Atalay, V; Hassanpour, R
    In this study, we describe an auto-calibration algorithm with fixed but unknown camera parameters. We have modified Triggs' algorithm to incorporate known aspect ratio and skew values to make it applicable for small rotation around a single axis. The algorithm despite being a quadratic one is easy to solve. We have applied the algorithm to some artificial objects with known size and dimensions for evaluation purposes. In addition, the accuracy of the algorithm has been verified using synthetic data. The described method is particularly suitable for three dimensional human head modeling. (C) 2004 Elsevier B.V. All rights reserved.
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    Conference Object
    Camera Auto-Calibration Using a Sequence of 2d Images With Small Rotations and Translations
    (Crc Press-taylor & Francis Group, 2003) Hassanpour, Reza; Hassanpour, R; Atalay, V; Yazılım Mühendisliği
    3D model generation needs depth information of the object in the input images. This information can be found using stereo imaging but it needs camera parameters. Camera calibration is not possible without some knowledge about the objects in the scene or assuming fixed or known values for the camera parameters. When using fixed camera parameters, however, small rotation angles or small translation in camera position can degenerate the results. The degeneracy can be omitted by adding new restrictions to the a-priori knowledge about the camera parameters. The calibrated data may be used to reconstruct 3D model of the scene.
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    Conference Object
    Head Modeling With Camera Auto-Calibration and Deformation
    (Akademische verlagsgesellsch Aka Gmbh, 2002) Hassanpour, R; Hassanpour, Reza; Atalay, V; Yazılım Mühendisliği
    A 3D head modeling method from a sequence of 2D images is described. The views from which the input images are acquired are not calibrated., Therefore, an auto-calibration method for a sequence of images with small rotations and translation is developed. For this purpose, we have modified an already existing auto-calibration algorithm to incorporate known aspect ratio and skew values to make it applicable for small rotation around a single axis. We apply this auto-calibration technique to head (face) modeling. Three dimensional positions of known facial features computed from two dimensional images are used to. deform a generic head model by using a spring based energy minimization method.