Computational photography is an emerging field combining smart optics,
electronics, computer vision and graphics. Recent trends in enhancing the
capabilities of a camera involve ...
We present a system for fast model-based segmentation and 3D pose
estimation of specular objects using appearance based specular
features. We use observed (a) specular reflection...
One of the principal bottlenecks in applying learning techniques to classification problems is the large amount of labeled training data required. Especially for images and video, ...
Ajay J. Joshi, Fatih Porikli, Nikolaos Papanikolop...
The ability to constrain the geometry of deformable models for image segmentation can be useful when information about the expected shape or positioning of the objects in a scene i...
Dr. Fatih Porikli is a senior principal research scientist and project manager at Mitsubishi Electric Research Labs (MERL), Cambridge, USA. He received his PhD specializing in vide...
We propose a method to control the luminance distribution on a scene by modeling the light propagation with direct and indirect components separately. To reduce the measurement tim...