In this paper, we consider the color-plus-mono dual-camera system and propose an end-to-end convolutional neural network to align fuse images from it in efficient cost-effective way. Our method takes cross-domain cross-scale as input, consequently synthesizes HR colorization results facilitate trade-off between spatial-temporal resolution color depth single-camera imaging system. contrast previ...

This paper addresses the problem of recovering accurate 3D geometry from a 4 degree of freedom stereo robot head. We argue that successful implementation of stereo vision in a real world application will require a self tuning system. This paper describes a statistical framework for the combination of many sources of information for the calibration of a stereo camera system which would allow con...

We present some novel concepts for the scene geometry recovery by a multi-camera system. A new global appearance measure is introduced for a novel generalized scene recovery methodology, called “the appearance-cloning.” For the efficient calibration of the multi-camera system, we investigate the projective properties of the concentric circle pattern. Specifically, two algebraic constraints from...

Omnidirectional cameras are becoming increasingly popular in computer vision and robotics. Camera calibration is a step before performing any task involving metric scene measurement, required in nearly all robotics tasks. In recent years many different methods to calibrate central omnidirectional cameras have been developed, based on different internal models and many times some of them limited...

There are many real-world applications of Virtual Reality requiring the construction of complex and accurate threedimensional models that represent real environments. In this paper, we describe a rapid and robust semi-automatic system that allows such environments to be quickly and easily built from video sequences captured with standard consumer-level digital cameras. The system combines an au...