Abstract 3D object detection and pose estimation from a single image are two inherently
ambiguous problems. Oftentimes, objects appear similar from different viewpoints due to …

We present two novel shape signature-based reflection symmetry detection methods with
their theoretical underpinning and empirical evaluation. LIP-signature and R-signature …

Motivated by various new applications of computational symmetry in computer vision and in
an effort to advance machine perception of symmetry in the wild, we organize the third …

Reflection symmetry is a very commonly occurring feature in both natural and man-made
objects, which helps in understanding objects better and makes them visually pleasing …

The paper presents a new algorithm for reflection symmetry detection, which is specialized
to detect maximal symmetric patterns in an Earth observation (EO) dataset. First, we stress …

In contrast to symmetry detection, Water Reflection Detection (WRD) is less studied. We treat
this topic as a Symmetry Axis Point Prediction task which outputs a set of points by implicitly …

A novel algorithm to detect semantic lines is proposed in this paper. We develop three
networks: detection network with mirror attention (D-Net) and comparative ranking and …

This work addresses the challenging problem of reflection symmetry detection in
unconstrained environments. Starting from the understanding on how the visual cortex …

Most face detection and recognition tasks are based on the training of intact facial images
and corresponding labels. Both the three‐dimensional (3D) structure and two‐dimensional …

A new algorithm is presented for detecting the global reflection symmetry of geometric
objects. The algorithm works for 2D and 3D objects which may be open or closed and may …