Social and Behavioral Sciences Commons^™

Using Gist Features To Constrain Search In Object Detection, Joanna Browne Solmon

Dissertations and Theses

This thesis investigates the application of GIST features [13] to the problem of object detection in images. Object detection refers to locating instances of a given object category in an image. It is contrasted with object recognition, which simply decides whether an image contains an object, regardless of the object's location in the image.

In much of computer vision literature, object detection uses a "sliding window" approach to finding objects in an image. This requires moving various sizes of windows across an image and running a trained classifier on the visual features of each window. This brute force method can …

Factors Of Inclusion And Exclusion To Housing: An Exploratory Study, Jonathan Abbott, Whitman A. Bouton, Jordan Christensen, Brian Dicarlo, Rylan Firth, Erin Mercer, Erica Molina Rodriguez, Andrew Sneddon, Chad Tucker, Brea Walters, Austin Zeitz

Asset Mapping: Community Geography Project

Portland State University: Spring 2014 Senior Capstone Neighborhood Equity Study.

The Cost Of Hauling Timber: A Comparison Of Raster- And Vector- Based Travel-Time Estimates In Gis, Sara M. Loreno

Geography Masters Research Papers

The cost of transporting forest products from harvest site to processing facility is a critical indicator of timber project feasibility. In order to accurately assess these timber haul costs, least-cost travel-time estimates among the site and the facility can be estimated using vector- or raster-based GIS methods. This study explores the applicability of both the raster- and vector-techniques within a variety of landscapes, including forested areas where comprehensive transportation data is limited. A comparison between the travel-time estimates derived from both methods was performed on three study sites using real-world data. The comparison also tested the effect of resolution on …