In this paper, we introduce a deep multi-view stereo (MVS) system that jointly predicts
depths, surface normals and per-view confidence maps. The key to our approach is a novel …

Geometric model fitting has been widely used in many computer vision tasks. However, it
remains as a challenging task when handing multiple-structural data contaminated by …

The maximum feasible subset problem (maxFS) is this: given an infeasible set of constraints,
find a largest cardinality subset that admits a feasible solution. This problem is NP-hard but …

Geometric model fitting has been widely applied in the electronic industry. However, it
remains as a challenging task when handling the data corrupted by a large number of false …

The estimation of multiple homographies between two piecewise planar views of a rigid
scene is often assumed to be a solved problem. We show that contrary to popular opinion …

Geometric model fitting is a fundamental research topic in computer vision and it aims to fit
and segment multiple-structure data. In this paper, we propose a novel superpixel-guided …

Though a long-studied problem, motion segmentation has yet to migrate into practical
applications. We argue that a vital step towards that goal lies in addressing motion …

The performance of many robust model fitting techniques is largely dependent on the quality
of the generated hypotheses. In this paper, we propose a novel guided sampling method …

This paper proposes a two-view deterministic geometric model fitting method, termed
Superpixel-based Deterministic Fitting (SDF), for multiple-structure data. SDF starts from …

Abstract We propose an Efficient Guided Hypothesis Generation (EGHG) method for multi-
structure epipolar geometry estimation. Based on the Markov Chain Monte Carlo process …