A transformation metric to measure the similarity between 3-D models and 2-D images is proposed. The transformation metric measures the amount of affine deformation applied to the object to produce the given image. A simple, closed-form solution for this metric is presented. This solution is optimal in transformation space, and it is used to bound the image metric from both above and below. The transformation metric can be used in several different ways in recognition and classification tasks.<>
Distance metric between 3D models and 2D images for recognition and classification
1993-01-01
419916 byte
Conference paper
Electronic Resource
English
Learning a Distance Metric from Relative Comparisons between Quadruplets of Images
British Library Online Contents | 2017
|Perceptual color difference metric for complex images based on Mahalanobis distance
British Library Online Contents | 2001
|Small-Object Detection for UAV-Based Images Using a Distance Metric Method
DOAJ | 2022
|Autocorrelated images and search for distance between them in speech command recognition
British Library Online Contents | 2008
|