Search Results for author:
Found 10 papers, 2 papers with code
OmniSDF: Scene Reconstruction using Omnidirectional Signed Distance Functions and Adaptive Binoctrees
We present a method to reconstruct indoor and outdoor static scene geometry and appearance from an omnidirectional video moving in a small circular sweep.
Polarimetric iToF: Measuring High-Fidelity Depth through Scattering Media
In this work, we propose a polarimetric iToF imaging method that can capture depth information robustly through scattering media.
Progressively Optimized Local Radiance Fields for Robust View Synthesis
For handling unknown poses, we jointly estimate the camera poses with radiance field in a progressive manner.
Robust Dynamic Radiance Fields
Dynamic radiance field reconstruction methods aim to model the time-varying structure and appearance of a dynamic scene.
FloatingFusion: Depth from ToF and Image-stabilized Stereo Cameras
Fusing RGB stereo and ToF information is a promising direction to overcome these issues, but a key problem remains: to provide high-quality 2D RGB images, the main color sensor's lens is optically stabilized, resulting in an unknown pose for the floating lens that breaks the geometric relationships between the multimodal image sensors.
DeepFormableTag: End-to-end Generation and Recognition of Deformable Fiducial Markers
Second, a differentiable image simulator creates a training dataset of photorealistic scene images with the deformed markers, being rendered during optimization in a differentiable manner.
High-Quality Stereo Image Restoration From Double Refraction
However, when an extraordinary-ray (e-ray) image is restored to acquire stereo images, the existing methods suffer from very severe restoration artifacts in stereo images due to a low signal-to-noise ratio of input e-ray image or depth/deconvolution errors.
Real-Time Sphere Sweeping Stereo From Multiview Fisheye Images
RGB-D imaging prototype composed of a mobile GPU and four fisheye cameras.
NormalFusion: Real-Time Acquisition of Surface Normals for High-Resolution RGB-D Scanning
Volumetric fusion enables real-time scanning using a conventional RGB-D camera, but its geometry resolution has been limited by the grid resolution of the volumetric distance field and depth registration errors.
Single-Shot Monocular RGB-D Imaging Using Uneven Double Refraction
Cameras that capture color and depth information have become an essential imaging modality for applications in robotics, autonomous driving, virtual, and augmented reality.
