Frank B. ter Haar

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A robust and efficient method is presented for recognizing objects in unstructured 3D point clouds acquired from photos. The method first finds the locations of target objects using single spin image matching and then retrieves the orientation and quality of the match using the iterative closest point (ICP) algorithm. In contrast to classic use of spin(More)
We present a new bootstrapping algorithm to automatically enhance a 3D morphable face model with new face data. Our algorithm is based on a morphable model fitting method that uses a set of predefined face components. This fitting method produces accurate model fits to 3D face data with noise and holes. In the fitting process, the dense point-to-point(More)
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