Ana Filipa Rodrigues Nogueira
Papers
1
Total Citations
3
H-Index
1
About
Ana Filipa Rodrigues Nogueira is an emerging researcher specializing in computer vision and human motion analysis, with a particular focus on markerless 3D human pose estimation. Her work addresses one of the most technically demanding challenges in the field: accurately reconstructing human skeletal movement from visual data without the need for physical markers, making her research highly applicable to real-world scenarios. Her most notable contribution is a comprehensive survey on markerless multi-view 3D human pose estimation, published in 2024, which has already garnered 3 citations in its early stage — a promising indicator of its relevance to the research community. This work systematically examines the state of the art in reconstructing human body joint positions across multiple camera views, tackling persistent challenges such as occlusions and 2D pose ambiguities that have long hindered progress in the field. The practical implications of Nogueira's research span diverse and impactful domains, including character animation, human-robot interaction, intelligent surveillance systems, and sports performance analysis. Her survey serves as a valuable reference point for researchers and practitioners working at the intersection of deep learning and human motion understanding, positioning her as a meaningful contributor to this rapidly evolving discipline.
Research Focus
Key Achievements
Top Papers
- 1Markerless Multi-view 3D Human Pose Estimation: a survey3 citations · 2024