Maryam N. Al-Berry

Papers

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About

Dr. Maryam N. Al-Berry is a computer vision researcher whose work focuses on multi-scale signal processing and 3D reconstruction from 2D imagery. Her research spans human action recognition, motion detection, and 3D modeling, with a particular emphasis on wavelet-based methods for analyzing visual data. Her most cited work, "Human action recognition via multi-scale 3D stationary wavelet analysis" (2014, 7 citations), introduced a novel approach to understanding human movements in video, leveraging the power of 3D wavelets to capture both spatial and temporal features. This foundational work has implications for intelligent surveillance, robotics, and human-computer interaction. Dr. Al-Berry also contributed to motion detection with "Motion detection using wavelet-enhanced accumulative frame differencing" (2013, 2 citations), which improved the reliability of tracking moving objects in complex real-world scenes. Her recent work, "3D Reconstruction from JPG Images" (2025, 1 citation), tackles the challenge of generating three-dimensional models from standard 2D photographs, with applications in medical imaging, augmented reality, and robotics. Dr. Al-Berry’s research demonstrates a consistent focus on extracting meaningful information from visual data, bridging the gap between traditional signal processing and modern computer vision challenges.