162747 20251017144621.0 doi 10.1049/ipr2.70197 sideral 145299 ART-2025-145299 eng Berenguel-Baeta, Bruno Universidad de Zaragoza (orcid)0000-0003-2674-4844 Panoramic Depth and Semantic Estimation With Frequency and Distortion Aware Convolutions 2025 Access copy available to the general public Unrestricted Omnidirectional images reveal advantages when addressing the understanding of the environment due to the 360‐degree contextual information. However, the inherent characteristics of the omnidirectional images add additional problems to obtain an accurate detection and segmentation of objects or a good depth estimation. To overcome these problems, we exploit convolutions in the frequency domain, obtaining a wider receptive field in each convolutional layer, and convolutions in the equirectangular projection, to cope with the image distortion. Both convolutions allow to leverage the whole context information from omnidirectional images. Our experiments show that our proposal has better performance on non‐gravity‐oriented panoramas than state‐of‐the‐art methods and similar performance on oriented panoramas as specific state‐of‐the‐art methods for semantic segmentation and for monocular depth estimation, outperforming the sole other method which provides both tasks. info:eu-repo/grantAgreement/ES/MICINN-AEI/PID2021-125209OB-I00 info:eu-repo/grantAgreement/EUR/MICINN/TED2021-129410B-I00 info:eu-repo/semantics/openAccess by-nc-nd https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Bermudez-Cameo, Jesus Universidad de Zaragoza (orcid)0000-0002-8479-1748 Guerrero, Jose J. Universidad de Zaragoza (orcid)0000-0001-5209-2267 5007 520 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Ingen.Sistemas y Automát. 19, 1 (2025), e70197 [12 pp.] IET Image Processing IET Image Processing 1751-9659 8588417 http://zaguan.unizar.es/record/162747/files/texto_completo.pdf Versión publicada 2255587 http://zaguan.unizar.es/record/162747/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:162747 articulos driver 2025-10-17-14:22:01 ARTICLE