Search Results for author:
Found 17 papers, 3 papers with code
Diffraction Line Imaging
Thus, our system is able to achieve high-speed and high-accuracy 2D positioning of light sources and 3D scanning of scenes.
Learning Continuous Implicit Representation for Near-Periodic Patterns
To address these challenges, we learn a neural implicit representation using a coordinate-based MLP with single image optimization.
Dual-Shutter Optical Vibration Sensing
Visual vibrometry is a highly useful tool for remote capture of audio, as well as the physical properties of materials, human heart rate, and more.
WALT: Watch and Learn 2D Amodal Representation From Time-Lapse Imagery
Labeled real data of occlusions is scarce (even in large datasets) and synthetic data leaves a domain gap, making it hard to explicitly model and learn occlusions.
Ranked #1 on
Amodal Instance Segmentation
on WALT
Holocurtains: Programming Light Curtains via Binary Holography
Light curtain systems are designed for detecting the presence of objects within a user-defined 3D region of space, which has many applications across vision and robotics.
Active Safety Envelopes using Light Curtains with Probabilistic Guarantees
We use light curtains to estimate the safety envelope of a scene: a hypothetical surface that separates the robot from all obstacles.
Exploiting & Refining Depth Distributions With Triangulation Light Curtains
Active sensing through the use of Adaptive Depth Sensors is a nascent field, with potential in areas such as Advanced driver-assistance systems (ADAS).
Active Perception using Light Curtains for Autonomous Driving
Most real-world 3D sensors such as LiDARs perform fixed scans of the entire environment, while being decoupled from the recognition system that processes the sensor data.
TexMesh: Reconstructing Detailed Human Texture and Geometry from RGB-D Video
We present TexMesh, a novel approach to reconstruct detailed human meshes with high-resolution full-body texture from RGB-D video.
Spatiotemporal Bundle Adjustment for Dynamic 3D Human Reconstruction in the Wild
The triangulation constraint, however, is invalid for moving points captured in multiple unsynchronized videos and bundle adjustment is not designed to estimate the temporal alignment between cameras.
Programmable Triangulation Light Curtains
A vehicle on a road or a robot in the field does not need a full-featured 3D depth sensor to detect potential collisions or monitor its blind spot.
Deep Material-Aware Cross-Spectral Stereo Matching
Often, multiple cameras are used for cross-spectral imaging, thus requiring image alignment, or disparity estimation in a stereo setting.
CarFusion: Combining Point Tracking and Part Detection for Dynamic 3D Reconstruction of Vehicles
In this work, we develop a framework to fuse both the single-view feature tracks and multi-view detected part locations to significantly improve the detection, localization and reconstruction of moving vehicles, even in the presence of strong occlusions.
Matting and Depth Recovery of Thin Structures Using a Focal Stack
For macro-scale, we evaluate our method on scenes with complex 3D thin structures such as tree branches and grass.
The Geometry of First-Returning Photons for Non-Line-Of-Sight Imaging
In this paper, we propose a new approach for NLOS imaging by studying the properties of first-returning photons from three-bounce light paths.
Spatiotemporal Bundle Adjustment for Dynamic 3D Reconstruction
In this paper, we present a spatiotemporal bundle adjustment approach that jointly optimizes four coupled sub-problems: estimating camera intrinsics and extrinsics, triangulating 3D static points, as well as subframe temporal alignment between cameras and estimating 3D trajectories of dynamic points.
Simultaneous Estimation of Near IR BRDF and Fine-Scale Surface Geometry
Near-Infrared (NIR) images of most materials exhibit less texture or albedo variations making them beneficial for vision tasks such as intrinsic image decomposition and structured light depth estimation.
