This originally referred to finding landmarks for navigational purposes – for instance, in robot vision or creating maps from satellite images.
Methods used in navigation have been extended to other fields, notably in facial recognition where it is used to identify key points on a face.
[2] Holistic methods are pre-programmed with statistical information on face shape and landmark location coefficients.
Fashion landmark detection is particularly difficult due to the extreme deformation that can occur in clothing.
[13] With traditional computer vision techniques, detecting facial landmarks could be challenging due to variations in lighting, head position, and occlusion, but Convolutional Neural Networks (CNNs), have revolutionized landmark detection by allowing computers to learn the features from large datasets of images.
In particular, solutions based on this approach have achieved real-time efficiency on mobile devices' GPUs and found its usage within augmented reality applications.
As a result of the completion of the last iteration, a system will be obtained that can correctly determine the landmark with a certain accuracy.