24/7 Place Recognition by View Synthesis

View Interpolation by Image Synthesis

View Synthesis by Appearance Flow

Given one or more images of an object (or a scene), is it possible to synthesize a new image of the same instance observed from an arbitrary viewpoint? In this paper, we attempt to tackle this problem, known as novel view synthesis, by re-formulating it as a pixel copying task that avoids the notorious difficulties of generating pixels from scratch. Our approach is built on the observation that...

View Synthesis from Image and Video for Object Recognition Applications

Title of Dissertation: View Synthesis from Image and Video for Object Recognition Applications Zhanfeng Yue, Doctor of Philosophy, 2007 Dissertation directed by: Professor Rama Chellappa Department of Electrical and Computer Engineering Object recognition is one of the most important and successful applications in computer vision community. The varying appearances of the test object due to diff...

SFS Based View Synthesis for Robust Face Recognition

Sensitivity to variations in pose is a challenging problem in face recognition using appearance-based methods. More speciically, the appearance of a face changes dramatically when viewing and/or lighting directions change. Various approaches have been proposed to solve this diicult problem. They can be broadly divided into three classes: 1) multiple image based methods where multiple images of ...

View-dependent object recognition by monkeys.

BACKGROUND How do we recognize visually perceived three-dimensional objects, particularly when they are seen from novel view-points? Recent psychophysical studies have suggested that the human visual system may store a relatively small number of two-dimensional views of a three-dimensional object, recognizing novel views of the object by interpolation between the stored sample views. In order t...