Efficient probability-oriented feature matching using wide field-of-view imaging

TL;DR: Achieving widely distributed feature matches for fisheye images using flattened-affine-SIFT algorithm. The algorithm utilizes a new imaging model and flattened array model to reduce distortion and achieve widely distributed feature matches.

TL;DR: In this paper , an algoritmo based on una red neuronal convolucional (RUC) was used to compare the calidad of a vista 360 with the vista generated by a cámara.

TL;DR: An automatic method is proposed that determines the similarity of the overlapping area of the generated views as regards a reference image, in terms of a global descriptor, which reveals that an accurate stitching process can be achieved when a high number of feature points are detected and uniformly distributed in the overlapping area.

TL;DR: A new imaging method to observe arbitrary and multiple gaze directions in frame-by-frame manner based on resonant mirror and lock-in pixel image sensor.

TL;DR: In this article, the authors provide comprehensive background material and explain how to apply the methods and implement the algorithms directly in a unified framework, including geometric principles and how to represent objects algebraically so they can be computed and applied.

TL;DR: A novel scale- and rotation-invariant interest point detector and descriptor, coined SURF (Speeded Up Robust Features), which approximates or even outperforms previously proposed schemes with respect to repeatability, distinctiveness, and robustness, yet can be computed and compared much faster.

TL;DR: The nearest neighbor decision rule assigns to an unclassified sample point the classification of the nearest of a set of previously classified points, so it may be said that half the classification information in an infinite sample set is contained in the nearest neighbor.

TL;DR: This research presents a novel approach to planning and navigation algorithms that exploit statistics gleaned from uncertain, imperfect real-world environments to guide robots toward their goals and around obstacles.