Arun, Huang, Blostein, "Least-Squares Fitting of Two 3-D Point Sets," IEEE Transactions on Pattern Analysis and Machine Intelilgence (PAMI), Vol 9, No 5 Sept, 1987. Home/Search Document Not in Database Summary Related Articles Check |
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Proceedings of Multimedia Modeling'98, Lausanne.. - Real-Time Head Motion (Correct)
....However, it still has chances to have unacceptable estimation result. A prediction algorithm, the Grey Predictor [9] is adopted to compensate error estimations. In such a situation, three new feature points are predicted, with the transformation calculated using singular value decomposition [10]. If the prediction result is better, the prediction result is selected, otherwise, the estimation result is used. 3. Results and Conclusions The proposed 3 D head motion estimation procedure has been applied to live video, as shown in Figure 3. Only three feature points are required, and the ....
K. S. Arun, T. S. Huang, and S. D. Blostein, " LeastSquares Fitting of Two 3-D Point Sets," IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. PAMI-9, No. 5, pp. 698-700, Sep. 1987. points feature 2D estimated the and real the between distances vertex points. feature 2D estimated the and real the are and where ,
Moments of Superellipsoids and their Application to Range.. - Jaklic, Solina (Correct)
....superellipsoid models from range images. The ground truth transformation true was computed from 7 pairs of range points corresponding to small dents visible in the gray scale images of both views. The pairs of features were manually selected. We used a least square method described in [17] to compute true . The estimate of transformation estimate was then computed based on moments of recovered superellipsoids in each view and the residual transformation residual was computed from (59) All transformations were represented with homogeneous transformation matrices. true ....
K. Arun, T. Huang, and S. Blostein, "Least-squares fitting of two 3d point sets," IEEE Transactions on Pattern Recognition and Machine Intelligence, vol. 9, no. 5, pp. 698--700, September 1987.
Comparison and Evaluation of Retrospective.. - West.. (1998) (38 citations) (Correct)
.... CT to MR, and PET to MR, by calculating the rotation and translation parameters of the rigid body transformation that minimizes the mean square distance between corresponding fiducials in the two images [1] 2] We have implemented the closed form solution developed by Arun, Huang, and Blostein [7]. We define the fiducial registration error (FRE) as the root mean square (rms) distance between corresponding fiducials after registration and transformation. Markerbased registration was carried out for each patient data set and each MR modality. The derived transformations were tabulated and ....
K.S. Arun, T. S. Huang, and S. D. Blostein, "Least-squares fitting of two 3-D point sets", IEEE Trans. Pattern Anal. Mach. Intell., vol. 9, pp. 698-700, 1987.
Prototyping and Transforming Visemes for Animated Speech - Tiddeman, Perrett (2002) (Correct)
....and averaged to produce the prototype image. 2. 3 Synthetic viseme construction Given a static facial image in a neutral position we can transform it into the desired mouth shape and coloration (Figure 2) After first aligning the facial feature points using a (least square error) rigid body fit [17], the new shape is defined as the subject s silent shape plus the difference between the prototype silent shape and the desired prototype viseme shape. Then the subject silent, silent prototype and the viseme prototype images are all warped into the new shape. At each pixel the colour difference ....
K.S. Arun, T.S. Huang and S.D. Blostein, "Least-squares fitting of two 3-D point sets", IEEE Trans. on PAMI, 1987, Vol. 9, No. 5, pp698-700.
On the Robustness of Absolute Orientation - Micheals, Boult (Correct)
....in 1983 became (and continues to be) a popular algorithm. Since then, there have been many approaches that incorporate higher order geometric primitives, including [6] 7] 8] 9] Researchers have also continued to expand the standard pointbased least squares method ( 10] 11] 12] [13], 14] The novel solution introduced in [15] uses Fourier transforms to bypass the need for explicit correspondences. Gradient descent techniques have been explored by [16] and [17] Unlike the vast majority of previous AO research (including most of the aforementioned references) this paper ....
K. S. Arun, T. S. Huang, and S. D. Blostein, "Least-squares fitting of two 3-d point sets," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 9, no. 5, pp. 698--700, September 1987.
Parallel Evolutionary Registration of Range Data - Craig Robertson And (2002) Self-citation (Arun) (Correct)
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K. S. Arun, T. Huang and S. D. Blostein (1987), "Least-squares fitting of two 3-d point sets", IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.9, no.5, pp 698-700.
The Use of Dense Stereo Range Data in Augmented Reality - Gaile Gordon Mark (Correct)
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Arun, Huang, Blostein, "Least-Squares Fitting of Two 3-D Point Sets," IEEE Transactions on Pattern Analysis and Machine Intelilgence (PAMI), Vol 9, No 5 Sept, 1987.
Monochrome Video Segmentation - Venkateswaran, Mohan, Desai (2000) (Correct)
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K. S. Arun, T. S. Huang and S. D. Blostein, "Least-Square Fitting of Two 3-D Point Sets", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 9, No. 5, pp. 698--700 September 1987.
Least squares 3D surface and curve matching - Gruen, Akca (2005) (Correct)
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Arun, K.S., Huang, T.S., Blostein, S.D., 1987. Least-squares fitting of two 3D point sets. IEEE Transactions on Pattern Analysis and Machine Intelligence, 9 (5), pp. 698-700.
The Use of Dense Stereo Range Data in Augmented Reality - Gaile Gordon Mark (2002) (Correct)
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Arun, Huang, Blostein, "Least-Squares Fitting of Two 3-D Point Sets," IEEE Transactions on Pattern Analysis and Machine Intelilgence (PAMI), Vol 9, No 5 Sept, 1987.
Monochrome Video Segmentation - Sunder Venkateswaran Ankur (Correct)
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K. S. Arun, T. S. Huang and S. D. Blostein, "Least-Square Fitting of Two 3-D Point Sets", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 9, No. 5, pp. 698--700 September 1987.
A pilot study: 3D stereo photogrammetric image.. - Khambay, Nebel.. (2002) (Correct)
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K.S.Arun, T.S.Huang, and S.D.Blostein. "Least-square fitting of two 3d point sets". IEEE Trans. Pattern Anal. Machine Intell., 9(5):698--700, September 1987.
Performance Assessment by Resampling: Rigid Motion.. - Peter Meer David (1998) (1 citation) (Correct)
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K. S. Arun, T.S. Huang and S. D. Blostein, "Least-squares fitting of two3-Dpoint sets," IEEE Trans. Pattern Analysis and Machine Intelligence.Vol. 9, pp. 698--700, 1987.
Bootstrapping Errors-in-Variables Models - Matei, Meer (Correct)
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K.S. Arun, T.S. Huang and S.D. Blostein, "Least-squares fitting of two 3D point sets", IEEE Transactions on Pattern Analysis and Machine Intelligence. vol. 9, pp. 698--700, 1987.
Bootstrapping Errors-in-Variables Models - Matei, Meer (Correct)
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K.S. Arun, T.S. Huang and S.D. Blostein, "Least-squares fitting of two 3D point sets", IEEE Transactions on Pattern Analysis and Machine Intelligence. vol. 9, pp. 698--700, 1987.
Reconstruction of Sculptured Surface - Using Coordinate Measuring (1993) (Correct)
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T. Arun, K.S. Huang, and S. Blostein, "Least-squares fitting of two 3d point sets," IEEE Trans. Pattern Anal. Machine Intell.,vol. 9, pp. 698--700, Sept. 1987.
Optimal Rigid Motion Estimation and Performance Evaluation with .. - Matei, Meer (1999) (6 citations) (Correct)
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K.S. Arun, T.S. Huang and S.D. Blostein, "Least-squares fitting of two 3D point sets," IEEE Trans. Pattern Analysis and Machine Intelligence. Vol. 9, pp. 698--700, 1987.
A Review of Cardiac Image Registration Methods - Mäkelä, Clarysse, Sipilä.. (2002) (Correct)
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K. S. Arun, T. S. Huang, and S. D. Blostein, "Least-squares fitting of two 3-D point sets," IEEE Trans. Pattern Anal. Machine Intell., vol. PAMI-9, pp. 698--700, May 1987.
Optimal Rigid Motion Estimation and Performance Evaluation with .. - Matei, Meer (1999) (6 citations) (Correct)
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K.S. Arun, T.S. Huang and S.D. Blostein, "Least-squares fitting of two3Dpointsets,"IEEE Trans. Pattern Analysis and Machine Intelligence.Vol. 9, pp. 698--700, 1987.
Reconstruction of Sculptured Surface - Using Coordinate Measuring (1993) (Correct)
No context found.
T. Arun, K.S. Huang, and S. Blostein, "Least-squares fitting of two 3d point sets," IEEE Trans. Pattern Anal. Machine Intell., vol. 9, pp. 698--700, Sept. 1987.
Performance Assessment by Resampling: Rigid Motion.. - Peter Meer David (1998) (1 citation) (Correct)
No context found.
K. S. Arun, T.S. Huang and S. D. Blostein, "Least-squares fitting of two 3-D point sets," IEEE Trans. Pattern Analysis and Machine Intelligence. Vol. 9, pp. 698--700, 1987.
Moments of Superellipsoids and Their Application - To Range Image (Correct)
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K. Arun, T. Huang, and S. Blostein, "Least-squares fitting of two 3-D point sets," IEEE Trans. Pattern Recognit. Machine Intell., vol. 9, pp. 698--700, Sept. 1987.
RANSAC-based DARCES: A New Approach to Fast Automatic.. - Chen, Hung, Cheng (1999) (16 citations) (Correct)
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K. S. Arun, et. al, "Least-Square Fitting of Two 3-D Point Set," IEEE Trans. PAMI, Vol. 9, pp. 698-700, 1987.
Appearance based object modeling using texture.. - Furukawa.. (2002) (4 citations) (Correct)
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K. S. Arun, T. S. Huang, and S. D. Blostein, "Leastsquares fitting of two 3-D point sets", IEEE trans. PAMI, 9(5):698--700, 1987.
3D Thermography for Quantification of Heat Generation Resulting.. - Nebel (Correct)
No context found.
K.S. Arun, T.S. Huang, and S.D. Blostein. "Least-square fitting of two 3d point sets". IEEE Trans. Pattern Anal. Machine Intell., 9(5):698-700, September 1987.
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