publication . Other literature type . Conference object . 2020

Feature Extraction and Localisation using Scale-Invariant Feature Transform on 2.5D Image

João Oliveira;
  • Published: 23 Apr 2020
  • Publisher: figshare
  • Country: Czech Republic
Abstract
The standard starting point for the extraction of information from human face image data is the detection of key anatomical landmarks, which is a vital initial stage for several applications, such as face recognition, facial analysis and synthesis. Locating facial landmarks in images is an important task in image processing and detecting it automatically still remains challenging. The appearance of facial landmarks may vary tremendously due to facial variations. Detecting and extracting landmarks from raw face data is usually done manually by trained and experienced scientists or clinicians, and the landmarking is a laborious process. Hence, we aim to develop me...
Subjects
ACM Computing Classification System: ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
free text keywords: 80106 Image Processing, extrakce vlastností, lokalizace, orientační bod, Otsův algoritmus, feature extraction, localization, landmark, Otsu’s algorithm, Image Processing, automatic landmarking, 2.5D face data, localisation
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FigShare
Other literature type . 2020
Provider: FigShare
figshare
Other literature type . 2020
Provider: Datacite
figshare
Other literature type . 2020
Provider: Datacite

Figure 9. (a) Extracted features, (c) zoom-in/enlarged landmark areas of (b). Communication Papers Proceedings 187 ISBN 978-80-86943-71-8

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publication . Other literature type . Conference object . 2020

Feature Extraction and Localisation using Scale-Invariant Feature Transform on 2.5D Image

João Oliveira;