3 accepted papers
Stereo matching is a well researched area using visible-band color cameras. Thermal images are typically lower resolution, have less texture, and are noisier compared to their visible-band counterparts and are more challenging for stereo matching algorithms. Previous benchmarks for stereo matching e…
We propose to represent the shape of an organ using a neural network classifier. The shape is represented by a function learned by a neural network. Radial Basis Function (RBF) is used as the activation function for each perceptron. The learned implicit function is a combination of radial basis func…
Material classification is an important area of research in computer vision. Typical algorithms use color and texture information for classification, but there are problems due to varying lighting conditions and diversity of colors in a single material class. In this work we study the use of long wa…