This paper presents a new segmentation algorithm by fitting active contour models (or snakes) to objects using adaptive splines. The adaptive spline model describes the contour of an object by a set of piecewisely interpolating C polynomial spline patches which are locally controlled. Thus the resulting description of the object contour is continuous and smooth. Polynomial splines provide a fas...

The Active Appearance Model (AAM) is a widely used approach for model based vision showing excellent results. But one major drawback is that the method is not robust against occlusions. Thus, if parts of the image are occluded the method converges to local minima and the obtained results are unreliable. To overcome this problem we propose a robust AAM fitting strategy. The main idea is to apply...

Active Appearance Models (AAMs) represent the shape and appearance of an object via two low-dimensional subspaces, one for shape and one for appearance. AAMs for facial images are currently receiving considerable attention from the computer vision community. However, most existing work focuses on fitting AAMs to a single image. For many applications, effectively fitting an AAM to video sequence...

Slow-heating pyrolysis experiments of 14 plant species native to forests in the southern United States were conducted a TGA find kinetic parameters for slow all live and air-dried samples. Kinetic coefficients determined from data using model-fitting methods, resulting single entire process which can be used by wildland fire modelers. The model forms explored here are simple one-step multiple r...