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Found 8 papers, 2 papers with code
TRPLP - Trifocal Relative Pose From Lines at Points
We present a method for solving two minimal problems for relative camera pose estimation from three views, which are based on three view correspondences of (i) three points and one line and (ii) three points and two lines through two of the points.
Trifocal Relative Pose from Lines at Points and its Efficient Solution
We present a method for solving two minimal problems for relative camera pose estimation from three views, which are based on three view correspondences of i) three points and one line and the novel case of ii) three points and two lines through two of the points.
The Surfacing of Multiview 3D Drawings via Lofting and Occlusion Reasoning
The three-dimensional reconstruction of scenes from multiple views has made impressive strides in recent years, chiefly by methods correlating isolated feature points, intensities, or curvilinear structure.
From Multiview Image Curves to 3D Drawings
Reconstructing 3D scenes from multiple views has made impressive strides in recent years, chiefly by correlating isolated feature points, intensity patterns, or curvilinear structures.
Multiview Differential Geometry of Curves
We address these challenges by laying the theoretical foundations of a framework based on the differential geometry of general curves, including stationary curves, occluding contours, and non-rigid curves, aiming at stereo correspondence, camera estimation (including calibration, pose, and multiview epipolar geometry), and 3D reconstruction given measured image curves.
Temporal stability in human interaction networks
The principal components of the participants in the topological metrics space remain practically unchanged as different sets of messages are considered.
Social and Information Networks Physics and Society I.5.3
An Image-Based Fluid Surface Pattern Model
This work aims at generating a model of the ocean surface and its dynamics from one or more video cameras.
Multi-q Pattern Classification of Polarization Curves
An excellent classification rate was obtained, at a success rate of 90%, 80%, and 83% for low (cathodic), high (anodic), and both potential ranges, respectively, using only 2% of the original profile data.
