GWCNN: A Metric Alignment Layer for Deep Shape Analysis

• Published in: Computer graphics forum Vol. 36; no. 5; pp. 49 - 57
• Main Authors: Ezuz, Danielle, Solomon, Justin, Kim, Vladimir G., Ben-Chen, Mirela
• Format: Journal Article
• Language: English
• Published: Oxford Blackwell Publishing Ltd 01.08.2017
• Subjects: Alignment; Artificial neural networks; Categories and Subject Descriptors (according to ACM CCS); Distortion; I.3.5 [Computer Graphics]: Computational Geometry and Object Modeling—Geometric algorithms, languages, and systems; Image processing; Machine learning; Machine tools; Representations; Soups; Three dimensional models; Unstructured data; Video; Video data

Deep neural networks provide a promising tool for incorporating semantic information in geometry processing applications. Unlike image and video processing, however, geometry processing requires handling unstructured geometric data, and thus data representation becomes an important challenge in this...