Review on panoramic imaging and its applications in scene understanding
With the rapid development of high-speed communication and artificial intelligence
technologies, human perception of real-world scenes is no longer limited to the use of small …
technologies, human perception of real-world scenes is no longer limited to the use of small …
Surround-view fisheye camera perception for automated driving: Overview, survey & challenges
Surround-view fisheye cameras are commonly used for near-field sensing in automated
driving. Four fisheye cameras on four sides of the vehicle are sufficient to cover 360° around …
driving. Four fisheye cameras on four sides of the vehicle are sufficient to cover 360° around …
Autonomous detection of damage to multiple steel surfaces from 360 panoramas using deep neural networks
Structural health assessments are essential for infrastructure. By using an autonomous
panorama vision‐based inspection system, the limitations of the human cost and safety …
panorama vision‐based inspection system, the limitations of the human cost and safety …
Spherephd: Applying cnns on a spherical polyhedron representation of 360deg images
Omni-directional cameras have many advantages overconventional cameras in that they
have a much wider field-of-view (FOV). Accordingly, several approaches have …
have a much wider field-of-view (FOV). Accordingly, several approaches have …
Neural rendering in a room: amodal 3d understanding and free-viewpoint rendering for the closed scene composed of pre-captured objects
We, as human beings, can understand and picture a familiar scene from arbitrary viewpoints
given a single image, whereas this is still a grand challenge for computers. We hereby …
given a single image, whereas this is still a grand challenge for computers. We hereby …
VR content creation and exploration with deep learning: A survey
Virtual reality (VR) offers an artificial, computer generated simulation of a real life
environment. It originated in the 1960s and has evolved to provide increasing immersion …
environment. It originated in the 1960s and has evolved to provide increasing immersion …
Deeppanocontext: Panoramic 3d scene understanding with holistic scene context graph and relation-based optimization
Panorama images have a much larger field-of-view thus naturally encode enriched scene
context information compared to standard perspective images, which however is not well …
context information compared to standard perspective images, which however is not well …
360-indoor: Towards learning real-world objects in 360deg indoor equirectangular images
While there are several widely used object detection datasets, current computer vision
algorithms are still limited in conventional images. Such images narrow our vision in a …
algorithms are still limited in conventional images. Such images narrow our vision in a …
Gaussian label distribution learning for spherical image object detection
Spherical image object detection emerges in many applications from virtual reality to
robotics and automatic driving, while many existing detectors use ln-norms loss for …
robotics and automatic driving, while many existing detectors use ln-norms loss for …
360 single image super resolution via distortion-aware network and distorted perspective images
A Nishiyama, S Ikehata… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Effective 360° imaging requires a very high resolution because the field of view is
extraordinarily high. Single-image super-resolution (SISR) applied to 360° imaging has the …
extraordinarily high. Single-image super-resolution (SISR) applied to 360° imaging has the …