S. Izadi

Publications
Influence

KinectFusion: Real-time dense surface mapping and tracking

Richard A. Newcombe, S. Izadi, +7 authors A. Fitzgibbon
Computer Science
10th IEEE International Symposium on Mixed and…
26 October 2011

We present a system for accurate real-time mapping of complex and arbitrary indoor scenes in variable lighting conditions, using only a moving low-cost depth camera and commodity graphics hardware. Expand

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KinectFusion: real-time 3D reconstruction and interaction using a moving depth camera

S. Izadi, David Kim, +8 authors A. Fitzgibbon
Computer Science
UIST '11
16 October 2011

KinectFusion enables a user holding and moving a standard Kinect camera to rapidly create detailed 3D reconstructions of an indoor scene in real-time, without degrading camera tracking or reconstruction. Expand

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185
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Scene Coordinate Regression Forests for Camera Relocalization in RGB-D Images

J. Shotton, Ben Glocker, Christopher Zach, S. Izadi, A. Criminisi, A. Fitzgibbon
Computer Science
IEEE Conference on Computer Vision and Pattern…
23 June 2013

We address the problem of inferring the pose of an RGB-D camera relative to a known 3D scene, given only a single acquired image. Expand

SenseCam: A Retrospective Memory Aid

S. Hodges, Lyndsay Williams, +6 authors K. Wood
Computer Science
UbiComp
17 September 2006

This paper presents a novel ubiquitous computing device, the SenseCam, a sensor augmented wearable stills camera that keeps a digital record of the events that a person experiences. Expand

BundleFusion: real-time globally consistent 3D reconstruction using on-the-fly surface re-integration

Angela Dai, M. Nießner, M. Zollhöfer, S. Izadi, C. Theobalt
Computer Science
TOGS
5 April 2016

Real-time, high-quality, 3D scanning of large-scale scenes is key to mixed reality and robotic applications. Expand

Real-Time 3D Reconstruction in Dynamic Scenes Using Point-Based Fusion

M. Keller, Damien Lefloch, M. Lambers, S. Izadi, T. Weyrich, A. Kolb
Computer Science
International Conference on 3D Vision
29 June 2013

We propose a new system for real-time dense reconstruction with equivalent quality to existing online methods, but with support for additional spatial scale and robustness in dynamic scenes. Expand

Modeling Kinect Sensor Noise for Improved 3D Reconstruction and Tracking

C. Nguyen, S. Izadi, D. R. Lovell
Computer Science
Second International Conference on 3D Imaging…
13 October 2012

We contribute an empirically derived noise model for the Kinect sensor. Expand

Digits: freehand 3D interactions anywhere using a wrist-worn gloveless sensor

David Kim, Otmar Hilliges, +4 authors P. Olivier
Computer Science
UIST '12
7 October 2012

Digits is a wrist-worn sensor that recovers the full 3D pose of the user's hand. Expand

Fusion4D: real-time performance capture of challenging scenes

M. Dou, S. Khamis, +10 authors S. Izadi
Computer Science
ACM Trans. Graph.
11 July 2016

We contribute a new pipeline for live multi-view performance capture, generating temporally coherent high-quality reconstructions in real-time. Expand

Accurate, Robust, and Flexible Real-time Hand Tracking

T. Sharp, Cem Keskin, +12 authors S. Izadi
Computer Science
CHI
18 April 2015

We present a new real-time hand tracking system based on a single depth camera. Expand

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