Spherical Mapping Based Descriptors for 3D Object Matching

Mustafa, Blerim; Kalajdziski, Slobodan

doi:10.1109/eurcon.2007.4400270

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Intraoperative Tracking and Hand Gesture Recognition1

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Cited by 2 publications

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“…After taking into consideration the consistent surgical luminance, distinct background content and usability, a vision-based approach based on Continuously Adaptive Mean-Shift (CamShift) algorithm (Ling et al, 2010) is adopted for intraoperative tracking. CamShift algorithm is built upon the Mean-Shift algorithm to track objects based on probability distribution Mustafa & Kalajdziski, 2007). Back projection is a way to find the extent to which the pixel distribution of a region coincides with a histogram model.…”

Section: Intraoperative Tracking and Hand Gesture Recognitionmentioning

confidence: 99%

Intraoperative Visual Guidance and Control Interface for Augmented Reality Robotic Surgery

Wen¹,

Chui²,

Lim³

2011

Augmented Reality - Some Emerging Application Areas

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Section: Intraoperative Tracking and Hand Gesture Recognitionmentioning

confidence: 99%

Intraoperative Visual Guidance and Control Interface for Augmented Reality Robotic Surgery

Wen¹,

Chui²,

Lim³

2011

Augmented Reality - Some Emerging Application Areas

View full text Add to dashboard Cite

A Robust Method for Rotation Estimation Using Spherical Harmonics Representation

Althloothi

Mahoor

Voyles

2013

IEEE Trans. on Image Process.

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This paper presents a robust method for 3D object rotation estimation using spherical harmonics representation and the unit quaternion vector. The proposed method provides a closed-form solution for rotation estimation without recurrence relations or searching for point correspondences between two objects. The rotation estimation problem is casted as a minimization problem, which finds the optimum rotation angles between two objects of interest in the frequency domain. The optimum rotation angles are obtained by calculating the unit quaternion vector from a symmetric matrix, which is constructed from the two sets of spherical harmonics coefficients using eigendecomposition technique. Our experimental results on hundreds of 3D objects show that our proposed method is very accurate in rotation estimation, robust to noisy data, missing surface points, and can handle intra-class variability between 3D objects.

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Spherical Mapping Based Descriptors for 3D Object Matching

Cited by 2 publications

References 8 publications

Intraoperative Visual Guidance and Control Interface for Augmented Reality Robotic Surgery

Intraoperative Visual Guidance and Control Interface for Augmented Reality Robotic Surgery

A Robust Method for Rotation Estimation Using Spherical Harmonics Representation

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