Call for papers: SPIE Journal of Electronic Imaging Color in Texture and Material Recognition

Guest Editors:
Raimondo Schettini University of Milan-Bicocca Department of Informatics, System and Communication Viale Sarca 336 20126 Milan, Italy E-mail:
Joost van de Weijer Universitat Autònoma de Barcelona Centre de Visió per Computador Edifici O, Campus UAB 08193 Bellaterra, Cerdanyola, Spain E-mail:
Claudio Cusano University of Pavia Department of Electrical, Computer, and Biomedical Engineering Via A. Ferrata, 5 27100 Pavia, Italy E-mail:
Paolo Napoletano University of Milan-Bicocca Department of Informatics, System and Communication Viale Sarca 336 20126 Milan, Italy E-mail:

Call for Papers: Recognizing real-world materials in images is a challenging task due to the rich variations of lighting conditions, appearance, and surface properties. Color and textures are important components of material appearance. The study of texture and material recognition have a long history in image analysis and computer vision. Recent works that deal with large collections of images taken from the Internet or that exploit large-scale machine learning techniques have renewed the interest in these topics. The most relevant insight is that features from other domains, such as object recognition, may achieve comparable or sometimes better performance than those achieved with features specially designed for texture and material classification. Moreover, while for some artificial materials color and texture are independent properties, for natural materials they are strongly related. Whether or not color information is useful for texture and material classification is still an open issue, especially “in the wild,” where imaging conditions such as lighting color and direction, orientation, sensor type, etc., are unpredictable. This special section explores these topics by providing new insights for understanding color in texture and material recognition. This special section covers different areas, including color science, computer vision, computer graphics, and machine learning. This is an open call for papers, soliciting original contributions in addition to selected works from the 2015 International Workshop on Color in Texture and Material Recognition (ICIAP-CTMR2015). Papers should address a wide range of theoretical and practical issues including, but not limited to:

• Feature design: texture features, features from other domains, features obtained by deep learning
• Color science: photometric invariants, color invariants, color saliency, color constancy
• Vision science: color texture and material perception
• Machine learning: feature selection algorithms and representation learning methods applied to texture and color
• Performance evaluation: databases under controlled conditions, classification in the wild
• Applications: remote sensing, medical imaging, food recognition, industrial inspection.

Submissions due 15 February 2016.