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 reconstruction, improving the surface estimation over time, as well as parameterizing the nonrigid scene motion. Our approach is highly robust to both large frame-to-frame motion and topology changes, allowing us to reconstruct extremely challenging scenes. We demonstrate advantages over related real-time techniques that either deform an online generated template or continually fuse depth data nonrigidly into a single reference model. Finally, we show geometric reconstruction results on par with offline methods which require orders of magnitude more processing...
Recent advances in sensor technology have introduced low-cost video+depth sensors, such as the Micro...
Recent advances in sensor technology have introduced low-cost RGB video plus depth sensors, such as ...
Capturing a realistic digital copy of a facial performance has high importance for film and televisi...
We contribute a new pipeline for live multi-view performance capture, generating temporally coherent...
Recent advances in acquisition and processing technologies lead to the fast growth of a major branch...
Abstract Multi-view dynamic three-dimensional reconstruction has typically required the use of custo...
In this paper, a novel end-to-end system for the fast reconstruction of human actor performances int...
Figure 1: Real-time reconstructions of a moving scene with DynamicFusion; both the person and the ca...
We present a new effective way for performance capture of deforming meshes with fine-scale time-vary...
We present a high performance reconstruction approach, which generates true 3D models from multiple ...
We present a new passive approach to capture time-varying scene geometry in large acquisition volume...
Figure 1: We take depth maps from a consumer depth camera (top left) and fuse them into a single sur...
Existing techniques for dynamic scene reconstruction from multiple wide-baseline cameras primarily f...
This paper proposes a new marker-less approach to capturing human performances from multi-view video...
"Best Scientific Paper Award" atorgat per 3D Stereo MediaThis paper presents a methodology for obtai...
Recent advances in sensor technology have introduced low-cost video+depth sensors, such as the Micro...
Recent advances in sensor technology have introduced low-cost RGB video plus depth sensors, such as ...
Capturing a realistic digital copy of a facial performance has high importance for film and televisi...
We contribute a new pipeline for live multi-view performance capture, generating temporally coherent...
Recent advances in acquisition and processing technologies lead to the fast growth of a major branch...
Abstract Multi-view dynamic three-dimensional reconstruction has typically required the use of custo...
In this paper, a novel end-to-end system for the fast reconstruction of human actor performances int...
Figure 1: Real-time reconstructions of a moving scene with DynamicFusion; both the person and the ca...
We present a new effective way for performance capture of deforming meshes with fine-scale time-vary...
We present a high performance reconstruction approach, which generates true 3D models from multiple ...
We present a new passive approach to capture time-varying scene geometry in large acquisition volume...
Figure 1: We take depth maps from a consumer depth camera (top left) and fuse them into a single sur...
Existing techniques for dynamic scene reconstruction from multiple wide-baseline cameras primarily f...
This paper proposes a new marker-less approach to capturing human performances from multi-view video...
"Best Scientific Paper Award" atorgat per 3D Stereo MediaThis paper presents a methodology for obtai...
Recent advances in sensor technology have introduced low-cost video+depth sensors, such as the Micro...
Recent advances in sensor technology have introduced low-cost RGB video plus depth sensors, such as ...
Capturing a realistic digital copy of a facial performance has high importance for film and televisi...