State of the art on 3D reconstruction with RGB‐D cameras
The advent of affordable consumer grade RGB‐D cameras has brought about a profound
advancement of visual scene reconstruction methods. Both computer graphics and …
advancement of visual scene reconstruction methods. Both computer graphics and …
A review of non-rigid transformations and learning-based 3D point cloud registration methods
Point cloud registration is a research field where the spatial relationship between two or
more sets of points in space is determined. Point clouds are found in multiple applications …
more sets of points in space is determined. Point clouds are found in multiple applications …
Dynamicfusion: Reconstruction and tracking of non-rigid scenes in real-time
We present the first dense SLAM system capable of reconstructing non-rigidly deforming
scenes in real-time, by fusing together RGBD scans captured from commodity sensors. Our …
scenes in real-time, by fusing together RGBD scans captured from commodity sensors. Our …
Fusion4d: Real-time performance capture of challenging scenes
We contribute a new pipeline for live multi-view performance capture, generating temporally
coherent high-quality reconstructions in real-time. Our algorithm supports both incremental …
coherent high-quality reconstructions in real-time. Our algorithm supports both incremental …
Volumedeform: Real-time volumetric non-rigid reconstruction
We present a novel approach for the reconstruction of dynamic geometric shapes using a
single hand-held consumer-grade RGB-D sensor at real-time rates. Our method builds up …
single hand-held consumer-grade RGB-D sensor at real-time rates. Our method builds up …
Real-time non-rigid reconstruction using an RGB-D camera
We present a combined hardware and software solution for markerless reconstruction of non-
rigidly deforming physical objects with arbitrary shape in real-time. Our system uses a single …
rigidly deforming physical objects with arbitrary shape in real-time. Our system uses a single …
Doublefusion: Real-time capture of human performances with inner body shapes from a single depth sensor
We propose DoubleFusion, a new real-time system that combines volumetric dynamic
reconstruction with data-driven template fitting to simultaneously reconstruct detailed …
reconstruction with data-driven template fitting to simultaneously reconstruct detailed …
Robustfusion: Human volumetric capture with data-driven visual cues using a rgbd camera
High-quality and complete 4D reconstruction of human activities is critical for immersive
VR/AR experience, but it suffers from inherent self-scanning constraint and consequent …
VR/AR experience, but it suffers from inherent self-scanning constraint and consequent …
Bodyfusion: Real-time capture of human motion and surface geometry using a single depth camera
We propose BodyFusion, a novel real-time geometry fusion method that can track and
reconstruct non-rigid surface motion of a human performance using a single consumer …
reconstruct non-rigid surface motion of a human performance using a single consumer …
Dense human body correspondences using convolutional networks
We propose a deep learning approach for finding dense correspondences between 3D
scans of people. Our method requires only partial geometric information in the form of two …
scans of people. Our method requires only partial geometric information in the form of two …