Author of the publication

A fully annotated thermal face database and its application for thermal facial expression recognition.

, , and . I2MTC, page 1-6. IEEE, (2018)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

No persons found for author name Kopaczka, Marcin
add a person with the name Kopaczka, Marcin
 

Other publications of authors with the same name

Super-realtime facial landmark detection and shape fitting by deep regression of shape model parameters., , and . CoRR, (2019)Face Tracking and Respiratory Signal Analysis for the Detection of Sleep Apnea in Thermal Infrared Videos with Head Movement., , and . ICIAP Workshops, volume 10590 of Lecture Notes in Computer Science, page 163-170. Springer, (2017)A Thermal Infrared Face Database With Facial Landmarks and Emotion Labels., , , , and . IEEE Trans. Instrumentation and Measurement, 68 (5): 1389-1401 (2019)Robust Statistics for Feature-based Active Appearance Models., , and . ICETE (1), page 587-592. SciTePress, (2018)Multimodale Bildregistrierung für die effiziente Beurteilung von Rippenläsionen in PET/CT-Daten., , , , and . Bildverarbeitung für die Medizin, page 54-59. Springer, (2014)A fully annotated thermal face database and its application for thermal facial expression recognition., , and . I2MTC, page 1-6. IEEE, (2018)A combined modular system for face detection, head pose estimation, face tracking and emotion recognition in thermal infrared images., , , , and . IST, page 1-6. IEEE, (2018)An unsupervised learning approach for tracking mice in an enclosed area., , , , , and . BMC Bioinformatics, 18 (1): 272:1-272:14 (2017)A rib-specific multimodal registration algorithm for fused unfolded rib visualization using PET/CT., , , , and . Medical Imaging: Image Processing, volume 9034 of SPIE Proceedings, page 90341C. SPIE, (2014)Detection and Classification of Faulty Weft Threads Using Both Feature-Based and Deep Convolutional Machine Learning Methods., , , , and . ICPRAM (Revised Selected Papers), volume 11351 of Lecture Notes in Computer Science, page 141-163. Springer, (2018)