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20132026
most citedThe Convergence Rate of Neural Networks for Learned Functions of Different Frequencies

116 citations · 543 across the 40 of their papers we have counts for

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Showing 2017Show all

5 papers · 1 filter

cs.CV2017★ 5 cited

Photometric Stereo by Hemispherical Metric Embedding

Ofer Bartal, Nati Ofir, Yaron Lipman +1

Photometric Stereo methods seek to reconstruct the 3d shape of an object from motionless images obtained with varying illumination. Most existing methods solve a restricted problem…

cs.CV2017★ 40 cited

On Detection of Faint Edges in Noisy Images

Nati Ofir, Meirav Galun, Sharon Alpert +3

A fundamental question for edge detection in noisy images is how faint can an edge be and still be detected. In this paper we offer a formalism to study this question and subsequen…

cs.CV2017★ 3 cited

A New Rank Constraint on Multi-view Fundamental Matrices, and its Application to Camera Location Recovery

Soumyadip Sengupta, Tal Amir, Meirav Galun +4

Accurate estimation of camera matrices is an important step in structure from motion algorithms. In this paper we introduce a novel rank constraint on collections of fundamental ma…

cs.CV2017

Solving Uncalibrated Photometric Stereo Using Fewer Images by Jointly Optimizing Low-rank Matrix Completion and Integrability

Soumyadip Sengupta, Hao Zhou, Walter Forkel +3

We introduce a new, integrated approach to uncalibrated photometric stereo. We perform 3D reconstruction of Lambertian objects using multiple images produced by unknown, directiona…

cs.CV2017

A Survey of Structure from Motion

Onur Ozyesil, Vladislav Voroninski, Ronen Basri +1

The structure from motion (SfM) problem in computer vision is the problem of recovering the three-dimensional (D) structure of a stationary scene from a set of projective measur…