Lau, ManfredDev, KapilCagatay Turkay and Tao Ruan Wan2016-09-152016-09-152016978-3-03868-022-2-https://doi.org/10.2312/cgvc.20161302https://diglib.eg.org:443/handle/10.2312/cgvc20161302This work has previously been published [LDS 16] and this extended abstract provides a synopsis for further discussion at the UK CGVC 2016 conference. We introduce the concept of tactile mesh saliency, where tactile salient points on a virtual mesh are those that a human is more likely to grasp, press, or touch if the mesh were a real-world object. We solve the problem of taking as input a 3D mesh and computing the tactile saliency of every mesh vertex. The key to solving this problem is in a new formulation that combines deep learning and learning-to-rank methods to compute a tactile saliency measure. Finally, we discuss possibilities for future work.I.3.5 [Computer Graphics]Computational Geometry and Object ModelingModeling Packages10.2312/cgvc.2016130295-96