Linda Shapiro
A List of Graphics & Vision Projects
Shape-Based Retrieval of 3D Craniofacial Data

The goal of this work is to provide tools for the study of craniofacial anatomy from either CT scans or from a 12-camera active stereo photogrammetry system. Our image-analysis tools provide low-level operators for working with 3D craniofacial data. Our feature extraction tools produce quantitative representations (descriptors) of the 3D data that can be used to summarize the 3D shape with respect to the condition being studied and the question being asked.
Multimedia Information Retrieval

Scientific research in the biological domain generates massive amounts of data of many different kinds. With a hypothesis to investigate, researchers run large numbers of experiments that use data from human and animal subjects and produce multiple outputs of different modalities, ranging from simple textual data to signal, image, and 3D volumes, such as CT and MRI scans. Despite the massive scale and complexity of this data, many researchers at the forefront of biological sciences are using antiquated methods for storing their multimedia data.
Image Segmentation for Camera Phones

Among the many problems in image editing, cutting out an object is a very important task. Directly applying algorithms targeted for desktops to mobile phones does not yield the desired performance and user experience. This project supports the development of interactive, real-time algorithms for mobile phone image segmentation.
(Faculty: Shapiro)
Pattern Recognition for Ecological Science and Environmental Monitoring

The goal of this project is to develop a highly automated approach to the classification of insect specimens. It includes the development of computer vision and machine learning algorithms for automatic classification of insects from images according to family, genus, and species. It also involves designing and building a mechanical device that can transport insects through the field of a microscope and automatically photograph them.
Biomedical Imaging and Informatics

This project involves ongoing collaborative research with the Biomedical and Health Informatics program at the UW Medical School. Projects include the construction of 3D models from image data, the automatic classification and retrieval of body-part images, the creation of a reference ontology for the human body, and query systems to access this data.
(Faculty: Shapiro)
Content-Based Image Retrieval

The goal of this research is to develop the necessary methodology for automated recognition of generic object and concept classes in digital images. The work builds on existing object-recognition techniques in computer vision for low-level feature extraction and designs higher-level relationship and cluster features and a new unified recognition methodology to handle the difficult problem of recognizing classes of objects, instead of particular instances. Local feature representations and global summaries that can be used by general-purpose classifiers are developed.

Contact
Office: CSE634
Email:
shapiro
cs
Phone: (206) 543-2196
Fax: (206) 543-2969

