Localization using Ego Motion based on Fisheye Warping Image

Recovery of ego-motion using image stabilization

A method for computing the 3D camera motion (the ego-motion) in a static scene is introduced, which is based on computing the 2D image motion of a single image region directly from image intensities. The computed image motion of this image region is used to register the images so that the detected image region appears stationary. The resulting displacement eld for the entire scene between the r...

Image-Based Rendering using Image Warping

In this report, I present a complete image-based rendering system. This includes the derivation of a mapping function from first principles, an algorithm for determining the visibility of these mapped points in the resulting image, and a method for reconstructing a continuous image from these mapped points. I refer to this type of mapping function as image warping, because it processes the elem...

Learning image representations equivariant to ego-motion

Understanding how images of objects and scenes behave in response to specific ego-motions is a crucial aspect of proper visual development, yet existing visual learning methods are conspicuously disconnected from the physical source of their images. We propose to exploit proprioceptive motor signals to provide unsupervised regularization in convolutional neural networks to learn visual represen...

Image-Based Rendering using Image-Warping – Motivation and Background

The field of three-dimensional computer graphics has long focused on the problem of synthesizing images from geometric models. These geometric models, in combination with surface descriptions characterizing the reflective properties of each element, represent the scene that is to be rendered. Computationally, the classical computer-graphics image synthesis process is a simulation problem in whi...

Creating Image-Based VR Using a Self-Calibrating Fisheye Lens