Humans take advantage of real world symmetries for various tasks, yet capturing their
superb symmetry perception mechanism with a computational model remains elusive …

Reflection symmetry detection receives increasing attentions in recent years. The state-of-
the-art algorithms mainly use the matching of intensity-based features (such as the SIFT) …

We propose an algorithm to detect approximate reflection symmetry present in a set of
volumetrically distributed points belonging to containing a distorted reflection symmetry …

Symmetry in visual data represents repeated patterns or shapes that is easily found in
natural and human-made objects. Symmetry pattern on an object works as a salient visual …

Symmetry is everywhere, found in objects around us, whether artificial or natural, and acts
as a mid-level cue for both human and machine perception of the chaotic real world. From …

Reflection symmetry is one of the most commonly occurring and prominent visual attributes
present in the real world. With an increase in the display devices of different sizes and …

Symmetry is a salient visual pattern in images. Symmetrical structure attracts human eye
more than other regions. Therefore, detecting symmetry in an image is one of the crucial …

We propose an energy minimization approach to detect multiple reflection symmetry axes
present in a given image representing fronto-parallel view of a scene. We perform local …

Reflection symmetry is ubiquitous in nature and plays an important role in object detection
and recognition tasks. Most of the existing methods for symmetry detection extract and …

Detecting the reflection symmetry axis present in an object has been an active research
problem in computer vision and computer graphics due to its various applications such as …