| 000 -LEADER |
|---|
| fixed length control field |
01271nam a2200169Ia 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20200308073519.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
190927s9999 xx 000 0 und d |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
T H4301 2012 |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Preferred name for the person |
Hernale, Sherlyn G. |
| 245 #0 - TITLE STATEMENT |
|---|
| Title |
Indoor place recognition for the blind |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of Publication |
Cebu City |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Name of Publisher |
CIT-U |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Date of Publication |
2012 |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
Navigating inside building is a challenging task for the blind which often makes them dependent on others foe guidance. This study explores place recognition accessible via hand held devices to guide the visually impaired inside unfamiliar buildings. In computer vision, place recognition addresses the problem of identifying places based on appearance. The majority of this study focuses on implementing, evaluating, and enhancing place recognition algorithms for this application domain. The outcome of this study is a camera-based indoor blind-navigation model that can autonomously recognize previously mapped indoor locations. In the mapping or calibration phase, images of an indoor setting are collected, labeled, and mapped to specific locations in the indoor environment. The effectiveness of the system is evaluated by measuring the recall rate of the place recognition algorithm. |
| 526 ## - STUDY PROGRAM INFORMATION NOTE |
|---|
| -- |
000-099 |
| 942 ## - ADDED ENTRY ELEMENTS |
|---|
| Item type |
RESERVED BOOKS |
| Source of classification or shelving scheme |
|