This disclosure is directed to a method and system for matching human pose data in the form of 2D skeletons for the purposes of 3D reconstruction. The system may comprise a scoring module that assigns an affinity score to each pair of cross-view 2D skeletons, a matching module that assigns optimal pairwise matches based on the affinity scores, a grouping module that assigns each 2D skeleton to a group such that each group corresponds to a unique person, based on the pairwise matches; and a temporal consistency module that assigns each group an ID that maintains correspondence to the same person over the multi-video sequence.

This disclosure is directed to a method and system for matching human pose data in the form of 2D skeletons for the purposes of 3D reconstruction. The system may comprise a scoring module that assigns an affinity score to each pair of cross-view 2D skeletons, a matching module that assigns optimal pairwise matches based on the affinity scores, a grouping module that assigns each 2D skeleton to a group such that each group corresponds to a unique person, based on the pairwise matches; and a temporal consistency module that assigns each group an ID that maintains correspondence to the same person over the multi-video sequence.

A print inspection device includes a camera that captures a character printed on an inspection target, a shape matching processor, a deformation pattern generator, and an inspection processor. The shape matching processor checks a shape of a captured character pattern included in a captured image obtained by the camera against a shape of a preset reference character pattern while changing a deformation degree of the shape of the reference character pattern and searches for a matched character. The deformation pattern generator generates a deformed character pattern obtained by deforming the reference character pattern at the deformation degree to which the character is matched in the shape matching process. The inspection processor inspects whether a printed state of the character is satisfactory from a result of the comparison between the deformed character pattern and the captured character pattern.

This disclosure is directed to a method and system for matching human pose data in the form of 2D skeletons for the purposes of 3D reconstruction. The system may comprise a scoring module that assigns an affinity score to each pair of cross-view 2D skeletons, a matching module that assigns optimal pairwise matches based on the affinity scores, a grouping module that assigns each 2D skeleton to a group such that each group corresponds to a unique person, based on the pairwise matches; and a temporal consistency module that assigns each group an ID that maintains correspondence to the same person over the multi-video sequence.

A print inspection device includes a camera that captures a character printed on an inspection target, a shape matching processor, a deformation pattern generator, and an inspection processor. The shape matching processor checks a shape of a captured character pattern included in a captured image obtained by the camera against a shape of a preset reference character pattern while changing a deformation degree of the shape of the reference character pattern and searches for a matched character. The deformation pattern generator generates a deformed character pattern obtained by deforming the reference character pattern at the deformation degree to which the character is matched in the shape matching process. The inspection processor inspects whether a printed state of the character is satisfactory from a result of the comparison between the deformed character pattern and the captured character pattern.