Scene coordinate regression forests for camera relocalization in RGB-D images
We address the problem of inferring the pose of an RGB-D camera relative to a known 3D
scene, given only a single acquired image. Our approach employs a regression forest that is …
scene, given only a single acquired image. Our approach employs a regression forest that is …
A survey on visual-based localization: On the benefit of heterogeneous data
We are surrounded by plenty of information about our environment. From these multiple
sources, numerous data could be extracted: set of images, 3D model, coloured points …
sources, numerous data could be extracted: set of images, 3D model, coloured points …
Recognizing scene viewpoint using panoramic place representation
J Xiao, KA Ehinger, A Oliva… - 2012 IEEE conference on …, 2012 - ieeexplore.ieee.org
We introduce the problem of scene viewpoint recognition, the goal of which is to classify the
type of place shown in a photo, and also recognize the observer's viewpoint within that …
type of place shown in a photo, and also recognize the observer's viewpoint within that …
Location recognition using prioritized feature matching
We present a fast, simple location recognition and image localization method that leverages
feature correspondence and geometry estimated from large Internet photo collections. Such …
feature correspondence and geometry estimated from large Internet photo collections. Such …
Panocontext: A whole-room 3d context model for panoramic scene understanding
The field-of-view of standard cameras is very small, which is one of the main reasons that
contextual information is not as useful as it should be for object detection. To overcome this …
contextual information is not as useful as it should be for object detection. To overcome this …
Real-time RGB-D camera relocalization
We introduce an efficient camera relocalization approach which can be easily integrated into
real-time 3D reconstruction methods, such as KinectFusion. Our approach makes use of …
real-time 3D reconstruction methods, such as KinectFusion. Our approach makes use of …
Exploiting uncertainty in regression forests for accurate camera relocalization
Recent advances in camera relocalization use predictions from a regression forest to guide
the camera pose optimization procedure. In these methods, each tree associates one pixel …
the camera pose optimization procedure. In these methods, each tree associates one pixel …
Real-time RGB-D camera relocalization via randomized ferns for keyframe encoding
Recovery from tracking failure is essential in any simultaneous localization and tracking
system. In this context, we explore an efficient keyframe-based relocalization method based …
system. In this context, we explore an efficient keyframe-based relocalization method based …
Feature co-occurrence maps: Appearance-based localisation throughout the day
E Johns, GZ Yang - 2013 IEEE International Conference on …, 2013 - ieeexplore.ieee.org
In this paper we present a new method, Feature Co-occurrence Maps, for appearance-
based localisation over the course of a day. We show that by quantising local features in …
based localisation over the course of a day. We show that by quantising local features in …
Learning super-resolution jointly from external and internal examples
Single image super-resolution (SR) aims to estimate a high-resolution (HR) image from a
low-resolution (LR) input. Image priors are commonly learned to regularize the, otherwise …
low-resolution (LR) input. Image priors are commonly learned to regularize the, otherwise …