ERI: Object Recognition Beyond Color and Shape — NSF Award to Middle Tennessee State University (TN, $200,000)
Machine vision applications have become increasingly important and are becoming an integral part of our everyday life. This is fueled by the rapid increase of automation in industrial settings. While the demand is high, machine vision still faces significant challenges and is unable to complete vision tasks that are ea
| Award title | ERI: Object Recognition Beyond Color and Shape |
|---|---|
| Award ID | 2502157 |
| Awardee | Middle Tennessee State University |
| City | MURFREESBORO |
| State | TN |
| Amount obligated | $200,000 |
| Principal investigator | Hongbo Zhang |
| Program | ERI-Eng. Research Initiation |
| Start date | 10/01/2025 |
| Abstract | Machine vision applications have become increasingly important and are becoming an integral part of our everyday life. This is fueled by the rapid increase of automation in industrial settings. While the demand is high, machine vision still faces significant challenges and is unable to complete vision tasks that are easier for humans. Such dilemma is primarily attributed to the limitations of shape and color-based object recognition paradigm that is being currently used. This research effort is |
| Source | NSF Awards |
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