This Friday’s EEG group meeting and seminar will be held in hybrid mode in Room GN06, William Gates Building, and on Zoom.
Zoom Link:
https://cam-ac-uk.zoom.us/j/88158575361
Meeting ID: 881 5857 5361
Passcode: 277705
When:
Friday 7 June. Lunch is from 12:00 to 1:00 pm. The seminar is from 1:00 to 2:00 pm.
Room GN06 is booked until 3:00 pm for additional discussions.
Registration:
You can register your in-person participation here, access the past recordings, or check out the future seminar details.
| Date | Title of Presentation | Speaker Name | Affiliation |
| 7 June | An App for Tree Trunk Diameter Estimation from Coarse Optical Depth Maps | Frank Feng | Independent Researcher |
Abstract:
Trunk diameter is related to the overall health and level of carbon sequestration in a tree. Trunk diameter measurement, therefore, is a key task in both forest plots and urban settings. Unlike the traditional approach of manual measurement with a measuring tape or calipers, several recent approaches rely on sophisticated technologies such as LiDAR and time-of-flight cameras that provide fine-grain depth maps. These technologies are supported only on specialized devices or high-end smartphones. We present a mobile application called GreenLens that only uses coarse-grain depth maps derived from an optical sensor, and so can be run on most common Android devices. Moreover, we use a state-of-the-art deep neural network to estimate trunk diameter from an image and its corresponding coarse depth map (RGB-D). We tested our app under challenging conditions including occlusion, leaning trees, and irregular shapes and found that our algorithm is comparable to accuracy from fine-grain depth maps. Currently, we are developing GreenLens2. Unlike our previous work, we are using a game engine (Unreal Engine) to create a highly photo-realistic virtual forest, making it easy to collect unlimited and diverse data for training neural networks. At the same time, we have proposed a multi-task neural network that performs trunk segmentation and end-to-end trunk diameter prediction simultaneously. We have also refined the app’s user journey to make it more interactive, straightforward, and user-friendly.
Bio:
Frank Feng is currently an undergraduate researcher and will join the Department of Computer Science and Technology at the University of Cambridge as a PhD student in October 2024.
For more details, please visit the Talks page.
Centre for Earth Observation 