• Publications
  • Influence
KinectFusion: Real-time dense surface mapping and tracking
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.
Bundle Adjustment - A Modern Synthesis
This paper is a survey of the theory and methods of photogrammetric bundle adjustment, aimed at potential implementors in the computer vision community. Bundle adjustment is the problem of refining a
Real-Time Human Pose Recognition in Parts from Single Depth Images
KinectFusion: real-time 3D reconstruction and interaction using a moving depth camera
Novel extensions to the core GPU pipeline demonstrate object segmentation and user interaction directly in front of the sensor, without degrading camera tracking or reconstruction, to enable real-time multi-touch interactions anywhere.
Real-time human pose recognition in parts from single depth images
This work takes an object recognition approach, designing an intermediate body parts representation that maps the difficult pose estimation problem into a simpler per-pixel classification problem, and generates confidence-scored 3D proposals of several body joints by reprojecting the classification result and finding local modes.
Scene Coordinate Regression Forests for Camera Relocalization in RGB-D Images
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. Our approach employs a regression forest that is capable of inferring
Direct Least Square Fitting of Ellipses
This work presents a new efficient method for fitting ellipses to scattered data by minimizing the algebraic distance subject to the constraint 4ac-b/sup 2/=1, which incorporates the ellipticity constraint into the normalization factor.
Simultaneous linear estimation of multiple view geometry and lens distortion
  • A. Fitzgibbon
  • Mathematics, Computer Science
    Proceedings of the IEEE Computer Society…
  • 8 December 2001
This paper shows how linear estimation of the fundamental matrix from two-view point correspondences may be augmented to include one term of radial lens distortion, by expressing fundamental matrix estimation as a quadratic eigenvalue problem (QEP), for which efficient algorithms are well known.
An Experimental Comparison of Range Image Segmentation Algorithms
A methodology for evaluating range image segmentation algorithms and four research groups have contributed to evaluate their own algorithm for segmenting a range image into planar patches.
Efficient Object Category Recognition Using Classemes
A new descriptor for images is introduced which allows the construction of efficient and compact classifiers with good accuracy on object category recognition, and allows object-category queries to be made against image databases using efficient classifiers such as linear support vector machines.