Recognition, acknowledgment, and acceptance of biases in a nonjudgmental manner is key to advancing knowledge avoiding biased behaviors. Unconscious do not mean people are bad, they those who raised or educated us bad people. They lessons were learned that unconsciously affect decision-making. Awareness management implicit bias critical successful growth as diverse, equitable, inclusive teams. ...

Explicit surfaces, such as triangulations or wireframe models, have been extensively used to represent the deformable 3–D models that are used to fit 3–D point and 2–D silhouette data. The resulting approaches, however, suffer from the fact that fitting typically involves finding the facets that are closest to the 3–D data points or most likely to be silhouette facets. This requires searching, ...

A unified method for simulating multiphase flows using an exactly mass, momentum, and energy conserving Cell-Integrated SemiLagrangian advection algorithm is presented. The deforming material boundaries are represented using the moment-of-fluid method. The new algorithm uses a semi-implicit pressure update scheme that asymptotically preserves the standard incompressible pressure projection meth...

Current methods for building models using implicit volume techniques present problems defining accurate and controllable blend shapes between implicit primitives. We present new methods to extend the freedom and controllability of implicit volume modeling. The main idea is to use a free-form curve to define the profile of the blend region between implicit primitives. The use of a free-form impl...

Semi-Lagrangian (S-L for short) methods, also called quasi-Lagrangian, have been around since the early 1960’s. T.N. Krishnamurti is probably the first to use S-L method. The S-L scheme becomes really popular following Andre Robert’s work in the early 80’s (Robert 1982) when he combined the use of S-L with semi-implicit method (SLSI) which allows for large time step size because both schemes ar...

We investigate an implicit method to compute a piecewise linear representation of a surface from a set of sample points. As implicit surface functions we use the weighted sum of piecewise linear kernel functions. For such a function we can partition Rd in such a way that these functions are linear on the subsets of the partition. For each subset in the partition we can then compute the zero lev...