{"ID":2854010,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2510.15471","arxiv_id":"2510.15471","title":"A Novel Combined Optical Flow Approach for Comprehensive Micro-Expression Recognition","abstract":"Facial micro-expressions are brief, involuntary facial movements that reveal hidden emotions. Most Micro-Expression Recognition (MER) methods that rely on optical flow typically focus on the onset-to-apex phase, neglecting the apex-to-offset phase, which holds key temporal dynamics. This study introduces a Combined Optical Flow (COF), integrating both phases to enhance feature representation. COF provides a more comprehensive motion analysis, improving MER performance. Experimental results on CASMEII and SAMM datasets show that COF outperforms single optical flow-based methods, demonstrating its effectiveness in capturing micro-expression dynamics.","short_abstract":"Facial micro-expressions are brief, involuntary facial movements that reveal hidden emotions. Most Micro-Expression Recognition (MER) methods that rely on optical flow typically focus on the onset-to-apex phase, neglecting the apex-to-offset phase, which holds key temporal dynamics. This study introduces a Combined Opt...","url_abs":"https://arxiv.org/abs/2510.15471","url_pdf":"https://arxiv.org/pdf/2510.15471v1","authors":"[\"Vu Tram Anh Khuong\",\"Thi Bich Phuong Man\",\"Luu Tu Nguyen\",\"Thanh Ha Le\",\"Thi Duyen Ngo\"]","published":"2025-10-17T09:29:17Z","proceeding":"cs.CV","tasks":"[\"cs.CV\"]","methods":"[]","has_code":false}