![Loading...](https://link.springer.com/static/c4a417b97a76cc2980e3c25e2271af3129e08bbe/images/pdf-preview/spacer.gif)
-
Article
Multiframe Motion Segmentation with Missing Data Using PowerFactorization and GPCA
We consider the problem of segmenting multiple rigid-body motions from point correspondences in multiple affine views. We cast this problem as a subspace clustering problem in which point trajectories associa...
-
Chapter and Conference Paper
Regularized Discriminative Direction for Shape Difference Analysis
The “discriminative direction” has been proven useful to reveal the subtle difference between two anatomical shape classes. When a shape moves along this direction, its deformation will best manifest the class...
-
Chapter and Conference Paper
Real-Time Simulation of Medical Ultrasound from CT Images
Medical ultrasound interpretation requires a great deal of experience. Real-time simulation of medical ultrasound provides a cost-effective tool for training and easy access to a variety of cases and exercises...
-
Chapter and Conference Paper
Perspective Nonrigid Shape and Motion Recovery
We present a closed form solution to the nonrigid shape and motion (NRSM) problem from point correspondences in multiple perspective uncalibrated views. Under the assumption that the nonrigid object deforms as...
-
Chapter and Conference Paper
Globally Optimal Solutions to Vision Using Convex and Quasi-convex Optimization
Vision Geometry is the are of Computer Vision that deals with computing the geometry of the 3D world from sequences of images. It grew out of Photogrammetry, a field that goes back at least to the start of the...
-
Chapter and Conference Paper
Where’s the Weet-Bix?
This paper proposes a new retrieval problem and conducts the initial study. This problem aims at finding the location of an item in a supermarket by means of visual retrieval. It is modelled as object-based re...
-
Chapter and Conference Paper
Automatic Dry Eye Detection
Dry Eye Syndrome is a common disease in the western world, with effects from uncomfortable itchiness to permanent damage to the ocular surface. Nevertheless, there is still no objective test that provides reli...
-
Chapter and Conference Paper
Visual Odometry for Non-overlap** Views Using Second-Order Cone Programming
We present a solution for motion estimation for a set of cameras which are firmly mounted on a head unit and do not have overlap** views in each image. This problem relates to ego-motion estimation of multip...
-
Chapter and Conference Paper
A Study of Hippocampal Shape Difference Between Genders by Efficient Hypothesis Test and Discriminative Deformation
Hypothesis testing is an important way to detect the statistical difference between two populations. In this paper, we use the Fisher permutation and bootstrap tests to differentiate hippocampal shape between ...
-
Chapter and Conference Paper
A Fast Optimal Algorithm for L 2 Triangulation
This paper presents a practical method for obtaining the global minimum to the least-squares (L 2) triangulation problem. Although optimal algorithms for the triangulation problem under L ...
-
Chapter and Conference Paper
Sequential L ∞ Norm Minimization for Triangulation
It has been shown that various geometric vision problems such as triangulation and pose estimation can be solved optimally by minimizing L ∞ error norm. This paper proposes a novel algorithm for...
-
Article
Critical Configurations for Projective Reconstruction from Multiple Views
This paper investigates a classical problem in computer vision: Given corresponding points in multiple images, when is there a unique projective reconstruction of the 3D geometry of the scene points and the ca...
-
Chapter and Conference Paper
Optimal Algorithms in Multiview Geometry
This is a survey paper summarizing recent research aimed at finding guaranteed optimal algorithms for solving problems in Multiview Geometry. Many of the traditional problems in Multiview Geometry now have opt...
-
Chapter and Conference Paper
New 3D Fourier Descriptors for Genus-Zero Mesh Objects
The 2D Fourier Descriptor is an elegant and powerful technique for 2D shape analysis. This paper intends to extend such technique to 3D. Though conceptually natural, such an extension is not trivial in that tw...
-
Chapter and Conference Paper
Plane-Based Calibration and Auto-calibration of a Fish-Eye Camera
We propose a systematic way for (auto)calibrating a fish-eye lens camera. By taking images of a planar scene with a fish-eye camera, our method automatically estimates the centre-of-distortion (COD), distortio...
-
Chapter and Conference Paper
Iterative Extensions of the Sturm/Triggs Algorithm: Convergence and Nonconvergence
We show that SIESTA, the simplest iterative extension of the Sturm/Triggs algorithm, descends an error function. However, we prove that SIESTA does not converge to usable results. The iterative extension of Ma...
-
Chapter and Conference Paper
Rectification-Free Multibaseline Stereo for Non-ideal Configurations
SSSD-based linear multibaseline stereo is an efficient implementation of multi-camera stereo vision system. This efficiency, however, vitally relies on the ideal configuration of all cameras. For dealing with ...
-
Chapter and Conference Paper
Discrete Conformal Shape Representation and Reconstruction of 3D Mesh Objects
This paper studies shape representation of general 3D objects. In particular, it proposes a conformal representation for genus-zero mesh objects, by using the discrete conformal map** technique. It also prop...
-
Chapter and Conference Paper
Feature Matching and Pose Estimation Using Newton Iteration
Feature matching and pose estimation are two crucial tasks in computer vision. The widely adopted scheme is first find the correct matches then estimate the transformation parameters. Unfortunately, such simpl...
-
Chapter and Conference Paper
Novelty Detection in Image Sequences with Dynamic Background
We propose a new scheme for novelty detection in image sequences capable of handling non-stationary background scenarious, such as waving trees, rain and snow. Novelty detection is the problem of classifying n...