2014
DOI: 10.1007/978-3-319-14364-4_13
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3D Estimation of Isometric Surfaces Using a ToF-Based Approach

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Cited by 1 publication
(2 citation statements)
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“…One of them makes use of the upper‐bound model and the other uses the differential model: The SOCP‐based algorithm proposed in [15], in which the authors use a triangular mesh together with a‐priori datasets for learning the deformations. The deformation constraints are expressed using the upper‐bound model. The approach of [16], where the authors used a differential model to represent the deformation constraints, and applied an optimisation method to this model. In a previous approach [20], we have proposed the use of a Time‐of‐Flight (ToF)‐camera in combination with a conventional camera in order to enhance the reconstruction when there is a limited number of tracked points. However, our new approach enhances the results of the previous approach when a large number of points are available.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…One of them makes use of the upper‐bound model and the other uses the differential model: The SOCP‐based algorithm proposed in [15], in which the authors use a triangular mesh together with a‐priori datasets for learning the deformations. The deformation constraints are expressed using the upper‐bound model. The approach of [16], where the authors used a differential model to represent the deformation constraints, and applied an optimisation method to this model. In a previous approach [20], we have proposed the use of a Time‐of‐Flight (ToF)‐camera in combination with a conventional camera in order to enhance the reconstruction when there is a limited number of tracked points. However, our new approach enhances the results of the previous approach when a large number of points are available.…”
Section: Resultsmentioning
confidence: 99%
“…In a previous approach [20], we have proposed the use of a Timeof-Flight (ToF)-camera in combination with a conventional camera in order to enhance the reconstruction when there is a limited number of tracked points. However, our new approach enhances the results of the previous approach when a large number of points are available.…”
Section: Comparative Studymentioning
confidence: 99%