RGB Guided ToF Imaging System: A Survey of Deep Learning-based Methods
Integrating an RGB camera into a ToF imaging system has become a significant technique
for perceiving the real world. The RGB guided ToF imaging system is crucial to several …
for perceiving the real world. The RGB guided ToF imaging system is crucial to several …
Curriculum learning for ab initio deep learned refractive optics
Deep optical optimization has recently emerged as a new paradigm for designing
computational imaging systems using only the output image as the objective. However, it …
computational imaging systems using only the output image as the objective. However, it …
{LocIn}: Inferring Semantic Location from Spatial Maps in Mixed Reality
Mixed reality (MR) devices capture 3D spatial maps of users' surroundings to integrate
virtual content into their physical environment. Existing permission models implemented in …
virtual content into their physical environment. Existing permission models implemented in …
Seeing through obstructions with diffractive cloaking
Unwanted camera obstruction can severely degrade captured images, including both scene
occluders near the camera and partial occlusions of the camera cover glass. Such …
occluders near the camera and partial occlusions of the camera cover glass. Such …
Indepth: Real-time depth inpainting for mobile augmented reality
Y Zhang, T Scargill, A Vaishnav… - Proceedings of the …, 2022 - dl.acm.org
Mobile Augmented Reality (AR) demands realistic rendering of virtual content that
seamlessly blends into the physical environment. For this reason, AR headsets and recent …
seamlessly blends into the physical environment. For this reason, AR headsets and recent …
Computational optical imaging: on the convergence of physical and digital layers
Optical imaging has traditionally relied on hardware to fulfill its imaging function, producing
output measures that mimic the original objects. Developed separately, digital algorithms …
output measures that mimic the original objects. Developed separately, digital algorithms …
Thin on-sensor nanophotonic array cameras
Today's commodity camera systems rely on compound optics to map light originating from
the scene to positions on the sensor where it gets recorded as an image. To record images …
the scene to positions on the sensor where it gets recorded as an image. To record images …
Learning a Dynamic Privacy-Preserving Camera Robust to Inversion Attacks
The problem of designing a privacy-preserving camera (PPC) is considered. Previous
designs rely on a static point spread function (PSF), optimized to prevent detection of private …
designs rely on a static point spread function (PSF), optimized to prevent detection of private …
Fisher information guidance for learned time-of-flight imaging
Abstract Indirect Time-of-Flight (ToF) imaging is widely applied in practice for its superiorities
on cost and spatial resolution. However, lower signal-to-noise ratio (SNR) of measurement …
on cost and spatial resolution. However, lower signal-to-noise ratio (SNR) of measurement …
Differentiable Sensor Layouts for End-to-End Learning of Task-Specific Camera Parameters
The success of deep learning is frequently described as the ability to train all parameters of
a network on a specific application in an end-to-end fashion. Yet, several design choices on …
a network on a specific application in an end-to-end fashion. Yet, several design choices on …