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Found 20 papers, 2 papers with code
FreeCam3D: Snapshot Structured Light 3D with Freely-Moving Cameras
The projected pattern can be observed in part or full by any camera, to reconstruct both the 3D map of the scene and the camera pose in the projector coordinates.
TIDE: Temporally Incremental Disparity Estimation via Pattern Flow in Structured Light System
Different from most former disparity estimation methods that operate in a frame-wise manner, our network acquires disparity maps in a temporally incremental way.
Online Adaptive Disparity Estimation for Dynamic Scenes in Structured Light Systems
In recent years, deep neural networks have shown remarkable progress in dense disparity estimation from dynamic scenes in monocular structured light systems.
Generalization of pixel-wise phase estimation by CNN and improvement of phase-unwrapping by MRF optimization for one-shot 3D scan
To solve the problems, we propose a pixel-wise interpolation technique for one-shot scan, which is applicable to any types of static pattern if the pattern is regular and periodic.
Underwater Image Enhancement by Transformer-based Diffusion Model with Non-uniform Sampling for Skip Strategy
In this paper, we present an approach to image enhancement with diffusion model in underwater scenes.
MOTSLAM: MOT-assisted monocular dynamic SLAM using single-view depth estimation
In this paper, we present MOTSLAM, a dynamic visual SLAM system with the monocular configuration that tracks both poses and bounding boxes of dynamic objects.
A Method For Adding Motion-Blur on Arbitrary Objects By using Auto-Segmentation and Color Compensation Techniques
Such a blur is sometimes considered as just a noise, however, it sometimes gives an important effect to add dynamism in the scene for photographs or videos.
High-frequency shape recovery from shading by CNN and domain adaptation
Importance of structured-light based one-shot scanning technique is increasing because of its simple system configuration and ability of capturing moving objects.
PoseRN: A 2D pose refinement network for bias-free multi-view 3D human pose estimation
We propose a new 2D pose refinement network that learns to predict the human bias in the estimated 2D pose.
Ranked #67 on
3D Human Pose Estimation
on Human3.6M
Dense Pixel-wise Micro-motion Estimation of Object Surface by using Low Dimensional Embedding of Laser Speckle Pattern
In addition, speckle pattern becomes uncorrelated with large motion.
Unified Underwater Structure-from-Motion
This paper shows that accurate underwater 3D shape reconstruction is possible using a single camera, observing a target through a refractive interface.
Underwater Stereo using Refraction-free Image Synthesized from Light Field Camera
In this paper, we propose a novel technique to efficiently select such rays to synthesize a refraction-free image from an underwater image captured by a light field camera.
CNN based dense underwater 3D scene reconstruction by transfer learning using bubble database
Passive stereo is a simple solution for capturing dynamic scenes at underwater environment, however the shape with textureless surfaces or irregular reflections cannot be recovered.
Multi-scale CNN stereo and pattern removal technique for underwater active stereo system
Passive stereo is applicable to capture dynamic scenes, however the shape with textureless surfaces or irregular reflections cannot be recovered by the technique.
Representing a Partially Observed Non-Rigid 3D Human Using Eigen-Texture and Eigen-Deformation
For full-body reconstruction with loose clothes, we propose to use lower dimensional embeddings of texture and deformation referred to as eigen-texturing and eigen-deformation, to reproduce views of even unobserved surfaces.
Depth estimation using structured light flow -- analysis of projected pattern flow on an object's surface --
Analysis reveals that minimum two light flows, which are retrieved from two projected patterns on the object, are required for depth estimation.
Temporal shape super-resolution by intra-frame motion encoding using high-fps structured light
With our method, multiple patterns are projected onto the object with higher fps than possible with a camera.
Depth Estimation Using Structured Light Flow -- Analysis of Projected Pattern Flow on an Object's Surface
Analysis reveals that minimum two light flows, which are retrieved from two projected patterns on the object, are required for depth estimation.
Simultaneous independent image display technique on multiple 3D objects
The system, despite consisting of conventional passive LCD projectors, is able to project different images and patterns depending on the spatial location of the object.
Active One-Shot Scan for Wide Depth Range Using a Light Field Projector Based on Coded Aperture
The central projection model commonly used to model cameras as well as projectors, results in similar advantages and disadvantages in both types of system.
