Faculty
Graduate Students
Mark Jeremy Narag
Dexter To
Christian James Barimbao
Ivan Richmond Jumawan
Johnenn Manalang
Julian Christopher Maypa
Undergraduate Students
Nathan Gabriel Danac
Andrea Rose Franco
Peter Lloyd Gealon
Sean Arthur Manliguez
Maria Lourdes Balane
Phoebe Grace Bayan
Denise Kyla Castro
Lea Isabel Pagayatan
John Kenneth Sanchez
Mary Franczine Tan
Mark Bryan Rosario
Overview
The group works on improving and developing new methods of acquisition and manipulation of images and other signals from cameras and microscopes to extract and enhance information. We develop instrumentation and algorithms to analyse signals, images and video from multidisciplinary domains such as marine science, arts and heritage, medicine, and sports.
RESEARCH AREAS
Cultural heritage and AI
VIP contributed to arts and heritage by developing a virtual kulintang using computer vision techniques and creating an AI model to automatically binarize historical architectural drawings. Other notable works include digitally restoring a Fernando Amorsolo painting and analyzing artistic influences among painters from various art movements.
Publications
Narag, M. J. G., Lico, G. R., & Soriano, M. (2025). Binarizing historical architectural drawings with shallow convolutional autoencoders. Engineering Applications of Artificial Intelligence, 148, 110400. https://doi.org/10.1016/j.engappai.2025.110400
Narag, M. J. G., & Soriano, M. (2021). Discovering artistic influences of painters from expressionism, impressionism, and surrealism art movements using convolutional neural network. Journal of Cultural Heritage, 51, 182-193.
Palomero, C. M. T., & Soriano, M. N. (2011). Digital cleaning and “dirt” layer visualization of an oil painting. Optics Express, 19(21), 21011-21017.
Sports & Video Biomechanics
We use computer vision to analyze football, basketball, and esports matches. Our work aims to help teams and competitors elevate their game through data and analytics.
Publications
Balista, J. A. F., Soriano, M. N., & Saloma, C. A. (2010). Compact time-independent pattern representation of entire human gait cycle for tracking of gait irregularities. Pattern Recognition Letters, 31(1), 20-27.
Soriano, M., Araullo, A., & Saloma, C. (2004). Curve spreads-a biometric from front-view gait video. Pattern Recognition Letters, 25(14), 1595-1602.
Optics and Computational Imaging
We take advantage of algorithms and indirect measurements to obtain images of various objects and samples. This imaging approach allows us to overcome hardware and optic limitations of the imaging system.
Our research includes Fourier ptychography to enhance the resolution of optical microscopy and phase-shift profilometry for 3D imaging. We also explore single-pixel imaging (ghost imaging), which enables non-line-of-sight imaging capabilities.
Publications
Aguilar, R. A., Hermosa, N., & Soriano, M. (2022). 3D Fourier ghost imaging via semi-calibrated photometric stereo. Applied Optics, 61(1), 253-261.
Aguilar, R. A., Hermosa, N., & Soriano, M. N. (2019). Low-cost Fourier ghost imaging using a light-dependent resistor. American Journal of Physics, 87(12), 976-981
Wave Dynamics and Resonance
We study the behavior of waves in different physical systems. Our research explores how the interactions of waves form various patterns and how these principles can be applied to physical systems. One of our notable projects involves controlling a particle on a square aluminum Chladni plate.
Publications
Abella, A. P., & Soriano, M. N. (2020). Measurement of Eulerian vorticity beneath rotating surface waves. Physica Scripta, 95(8), 085007.
Abella, A. P., & Soriano, M. N. (2019). Detection and visualization of water surface three-wave resonance via a synthetic schlieren method. Physica Scripta, 94(3), 034006.
Marine Imaging
We create techniques and technologies that help map out coastal environments such as shallow coral reefs and mangrove forests. We go on field works to collect sidescan sonar images, video data, and kite aerial photographs, which we process to create bathymetric maps and high resolution georeferenced mosaics.
Publications
Dagum, L. J., Corpuz, F. J., Soriano, M., Jauod, J., Capili, E., & Judilla, R. J. (2014, September). Stitching algorithm applied to camera array images for the visualization of Tubbataha reef grounding scars. In 2014 Oceans-St. John's (pp. 1-7). IEEE.
[CONFERENCE PROCEEDINGS] Litimco, C. E. O., Villanueva, M. G. A., Yecla, N. G., Soriano, M. N.,& Naval, P. C. (2013). Coral identification information system. Paper presented at the 2013 IEEE International Underwater Technology Symposium, UT 2013.
Judilla, R. J., Jauod, J., Capili, E., & Soriano, M. (2012, September). Teardrop-a rapid reef mosaicing tool for coastal communities. In Proceedings of the 12th International Coral Reef Symposium. Cairns (Australia) (pp. 254-258).
[CONFERENCE PROCEEDINGS] Francis James Corpuz, Prospero Naval, Eusebio Capili, Jaylord Jauod, Roel John Judilla, and Maricor Soriano, Rapid shallow coastal coral reef mapping using the teardrop system, Oceans, 2012, 1-6 (14-19 Oct. 2012). [DOI:10.1109/OCEANS.2012.6405113].
[CONFERENCE PROCEEDINGS] Roel John Judilla, Jaylord Jauod, Eusebio Capili Jr., and Maricor Soriano, Teardrop - a rapid reef mosaicing tool for coastal communities, Proceedings of the 12th International Coral Reef Symposium, Cairns, Australia (9-13 July 2012).
[CONFERENCE PROCEEDINGS] Francis James Corpuz, Prospero Naval, Eusebio Capili, Jaylord Jauod, Roel John Judilla, and Maricor Soriano, Coral reef mosaicking using Teardrop and Fast Image Labeling, OCEANS, 2012 - Yeosu, 1-6 (21-24 May 2012). [DOI:10.1109/OCEANS-Yeosu.2012.6263575].
Geo-Physics
We use machine learning and computer vision algorithms and techniques in the analysis of the petrophysical properties of rocks such as porosity and textures as well as automated detection of minerals. By integrating physics-based principles, geology, and AI, rock analysis is enhanced through reduction of bias and subjectivity, improvement in the rock characterization workflows, and creation of databases for improved stratigraphic logging and correlation.
Publications
Padrique, M. G. C., Narag, M. J. G., Fernando, A. G. S., & Soriano, M. N. (2025). Enhancing geothermal petrography with convolutional neural networks. Geothermics, 127, 103221. https://doi.org/10.1016/j.geothermics.2024.103221
Mapping
We utilize remotely sensed data, such as nighttime lights, to track and assess socio-economic patterns, including power disruptions, post-disaster resettlement, and urbanization. We also apply these data to public health and safety through risk mapping.
Medical Imaging
We develop optics-based, non-contact methods for advanced wound monitoring, including mapping oxygen saturation on the skin for diabetic foot ulcers. Our research also explores 3D reconstruction of intra-cavity objects using a catadioptric imaging system and wound area measurement through stereometry and mesh analysis.
Extension Work and Linkages
In Febuary 2013 the Video and Image Processing Group co-organized START 2013 Science and Technology for Art at the National Museum.
In April 2013 and October 2013 the ARRAS Team under Dr. Soriano measured and recorded the grounding damage at the Tubbataha Reefs caused by USS Guardian and M/V Min Long Yu.
Projects Initiated or On-Going
AUTOMATED RAPID REEF ASSESSMENT SYSTEM (ARRAS) YEAR 3
Project Leader: Dr. Maricor Soriano
Collaborators: Dr. Wilfredo Licuanan (DLSU), Engr. Roel John Judilla (MAPUA), Dr. Prospero Naval (Dept. Computer Science, UPD), Dr. Cesar Villanoy (UP MSI), Dr. Laura David (UP MSI).
Funding: DOST-GIA (Total Budget: PhP 18,520,969, Budget for Year 3: PhP6,274,094)
Duration: June 2010-November 2013
Overview: The Automated Rapid Reef Assessment Program aims to create tools for quick and cost efficient coral reef assessment and visualization. Tools and protocol developed in the project have been deployed in more than 13 sites around the Philippines and were used to measure the grounding damage in Tubbataha Reefs Natural Park, a UNESCO World Heritage Site.
In the News
PRESS COVERAGE FOR:
TUBBATAHA GROUNDING DAMAGE ASSESSMENT
[2013 Rappler]
http://www.rappler.com/science-nature/28036-pinoy-gadget-tubbataha-assessments
“An automated rapid reef assessment system invented by the team of Dr. Maricor Soriano of the University of Philippines (UP) was one of the technologies used to make permanent visual records for the damage done at the Tubbataha reef.”
[2013 GMANews]
[2013 ANC]
http://www.youtube.com/watch?v=ucMVM3LRqRM
“A new team of experts is headed to Tubbataha to take new images of the reef following the removal of the Chinese fishing vessel.”
Dr. Soriano appeared as guest in the news.
More Information
Dr. Maricor Soriano
Video and Image Processing (VIP) group
jing@nip.upd.edu.ph
+63 2 981 8500 loc. 3707