Abstract In Open-Set Domain Generalization (OSDG), the model is exposed to both new
variations of data appearance (domains) and open-set conditions, where both known and …

Single underwater images often face limitations in field-of-view and visual perception due to
scattering and absorption. Numerous image stitching techniques have attempted to provide …

Irregular boundaries in image stitching naturally occur due to freely moving cameras. To
deal with this problem, existing methods focus on optimizing mesh war** to make …

Image stitching from different captures often results in non-rectangular boundaries which is
often considered unappealing. To solve non-rectangular boundaries current solutions …

Image matching aims at identifying corresponding points between a pair of images.
Currently, detector-free methods have shown impressive performance in challenging …

This paper raises the new task of Fisheye Semantic Completion (FSC), where dense texture,
structure, and semantics of a fisheye image are inferred even beyond the sensor field-of …

Image rectangling involves filling in the blanks created during image stitching through
deformation techniques. However, existing methods still struggle with incomplete filling and …

Thin-plate spline (TPS) is a principal warp that allows for representing elastic, nonlinear
transformation with control point motions. With the increase of control points, the warp …

Homography estimation is a fundamental task in computer vision that involves obtaining the
transformation between multiview images for image alignment. Although convolutional …

Stitched images can offer a broader field of view, but their boundaries can be irregular and
unpleasant. To address this issue, current methods for rectangling images start by distorting …