2009 IEEE 12th International Conference on Computer Vision 2009
DOI: 10.1109/iccv.2009.5459321
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Coarse registration of 3D surface triangulations based on moment invariants with applications to object alignment and identification

Abstract: We present a new, direct way to register threedimensional (3D)

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Cited by 7 publications
(1 citation statement)
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References 23 publications
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“…Another method to derive 3D rotation invariants is based on complex moments [18,6]. Several application papers were published, for example [19], where the authors used 3D TRS invariants for tests of handedness and sex from MRI snaps of brains as well as two other papers [14] and [28] discussing utilization of invariants in registration. Most recently, [26] proposed an automatic algorithm to generate 3D rotation invariants from geometric moments up to an arbitrary order.…”
mentioning
confidence: 99%
“…Another method to derive 3D rotation invariants is based on complex moments [18,6]. Several application papers were published, for example [19], where the authors used 3D TRS invariants for tests of handedness and sex from MRI snaps of brains as well as two other papers [14] and [28] discussing utilization of invariants in registration. Most recently, [26] proposed an automatic algorithm to generate 3D rotation invariants from geometric moments up to an arbitrary order.…”
mentioning
confidence: 99%