In this paper we study large-scale optimization problems in multi-view geometry, in particular
the Bundle Adjustment problem. In its conventional formulation, the complexity of existing …

Maximum consensus estimation plays a critically important role in several robust fitting
problems in computer vision. Currently, the most prevalent algorithms for consensus …

Triangulation is an important task in the 3D reconstruction of computer vision. It seems
simple to find the position of a point in 3D space when its 2D perspective projections in multi …

The classic midpoint method for triangulation is extremely fast, but usually labelled as
inaccurate. We investigate the cost function that the midpoint method tries to minimize, and …

Multiple-view triangulation by ℓ∞ minimisation has become established in computer vision.
State-of-the-art ℓ∞ triangulation algorithms exploit the quasiconvexity of the cost function to …

The known rotation problem refers to a special case of structure-from-motion where the
absolute orientations of the cameras are known. When formulated as a minimax (l_infty) …

We propose a two-stage variational model for the additive decomposition of images into
piecewise constant, smooth, textured and white noise components. The challenging …

Triangulation is a fundamental module in vision based navigation system, which
reconstructs the observed 3D point using cameras with known intrinsic and poses. In this …

Studies of how programmers understand code suggest that programmers approach the
understanding task in both bottom-up and top-town ways, depending on the context. We …

Multi-camera triangulation of feature points based on a minimisation of the overall L2
reprojection error can get stuck in suboptimal local minima or require slow global …