Textureless Deformable Surface Reconstruction with Invisible Markers

08/25/2023
by   Xinyuan Li, et al.
0

Reconstructing and tracking deformable surface with little or no texture has posed long-standing challenges. Fundamentally, the challenges stem from textureless surfaces lacking features for establishing cross-image correspondences. In this work, we present a novel type of markers to proactively enrich the object's surface features, and thereby ease the 3D surface reconstruction and correspondence tracking. Our markers are made of fluorescent dyes, visible only under the ultraviolet (UV) light and invisible under regular lighting condition. Leveraging the markers, we design a multi-camera system that captures surface deformation under the UV light and the visible light in a time multiplexing fashion. Under the UV light, markers on the object emerge to enrich its surface texture, allowing high-quality 3D shape reconstruction and tracking. Under the visible light, markers become invisible, allowing us to capture the object's original untouched appearance. We perform experiments on various challenging scenes, including hand gestures, facial expressions, waving cloth, and hand-object interaction. In all these cases, we demonstrate that our system is able to produce robust, high-quality 3D reconstruction and tracking.

READ FULL TEXT

page 3

page 4

page 5

page 6

page 7

page 8

page 9

page 10

research
01/18/2023

HMDO: Markerless Multi-view Hand Manipulation Capture with Deformable Objects

We construct the first markerless deformable interaction dataset recordi...
research
09/08/2023

Towards Practical Capture of High-Fidelity Relightable Avatars

In this paper, we propose a novel framework, Tracking-free Relightable A...
research
11/22/2022

Multi-View Neural Surface Reconstruction with Structured Light

Three-dimensional (3D) object reconstruction based on differentiable ren...
research
11/22/2021

Image Based Reconstruction of Liquids from 2D Surface Detections

In this work, we present a solution to the challenging problem of recons...
research
08/18/2020

Pix2Surf: Learning Parametric 3D Surface Models of Objects from Images

We investigate the problem of learning to generate 3D parametric surface...
research
05/25/2021

Multi-view 3D Reconstruction of a Texture-less Smooth Surface of Unknown Generic Reflectance

Recovering the 3D geometry of a purely texture-less object with generall...
research
03/11/2015

Dense image registration and deformable surface reconstruction in presence of occlusions and minimal texture

Deformable surface tracking from monocular images is well-known to be un...

Please sign up or login with your details

Forgot password? Click here to reset