We present a method for real-time 3D object detection
that does not require a time consuming training stage, and
can handle untextured objects. At its core, is a novel tem-
plat...
Stefan Hinterstoisser, Vincent Lepetit, Slobodan I...
We propose a new fast facial-feature extraction technique for embedded face-recognition applications. A deformable feature model is adopted, of which the parameters are optimized t...
Despite practical successes with the Futamura projections, it has been an open question whether target programs produced by specializing interpreters can always be as efficient as ...
TD-FALCON is a self-organizing neural network that incorporates Temporal Difference (TD) methods for reinforcement learning. Despite the advantages of fast and stable learning, TD...
We propose a novel surface remeshing algorithm. While many remeshing algorithms are based on global parametrization or local mesh optimization, our algorithm is closely related to...
John M. Schreiner, Carlos Eduardo Scheidegger, Sha...