Applying Depth Estimation in Stumpage Depth Map Generation

Based on Patent Research | CN-111010558-B (2021)

Obtaining precise 3D information from tree stumps is crucial for effective forestry operations. Current methods for generating depth maps, which illustrate object distances, are often inflexible, inconvenient, or expensive. Depth Estimation, a computer vision task, directly addresses this by creating these valuable maps from images. This process often involves stereo matching, comparing two images from different viewpoints to deduce depth. It provides detailed 3D scene data more efficiently and accurately for analysis.

SOLUTION OVERVIEW

Replacing Manual Mapping with AI Estimation

Depth Estimation technology directly addresses the challenges faced by forestry and logging professionals in obtaining precise 3D information from tree stumps. This computer vision task receives input from standard images, often captured from two slightly different viewpoints. It then employs stereo matching, comparing these image pairs to calculate the exact distances of objects within the scene. This process generates detailed depth maps, providing a precise digital representation of tree stump geometry for accurate analysis and planning.

This technology enables significant operational improvements by automating the creation of detailed 3D models from visual data. It integrates seamlessly into existing workflows, reducing reliance on labor-intensive manual measurements in rugged forest terrain. For instance, much like a surveyor uses specialized tools to map land contours precisely, Depth Estimation uses standard images to "map" the contours and volume of tree stumps, but faster and more safely. This capability supports optimized logging plans, better timber volume estimation, and enhanced decision-making for resource allocation.

HOW IT WORKS

From Images to Depth Maps

Capturing Stump Imagery

The system begins by receiving visual data, typically from a short video or multiple images of tree stumps. These captures provide different viewpoints, essential for subsequent depth calculations.

Analyzing Visual Information

Next, the system processes these images to identify tree stump boundaries using segmentation and tracks unique points across views. This step isolates relevant objects and prepares data for depth analysis.

Calculating Stump Depth

Utilizing stereo matching, the system compares identified features in multiple images. By analyzing slight differences in perspective, it precisely calculates each stump point's distance from the camera.

Refining Depth Map Data

Initial depth calculations are then refined through advanced filtering techniques to enhance accuracy and remove inconsistencies. This ensures the generated depth map is precise and reliable for practical use.

Generating 3D Stump Models

Finally, the refined depth map is transformed into a detailed 3D digital model of the tree stump. This precise representation enables forestry professionals to accurately assess timber volume, plan operations, and make informed decisions.

Potential Benefits

Achieve Precise Stump Measurements

This technology generates highly accurate 3D models of tree stumps, providing precise digital representations. This ensures reliable data for better timber volume estimation and resource assessment.

Streamline Field Operations

By automating 3D data capture from standard images, this system significantly reduces the time and labor for manual measurements in rugged forest terrain. This boosts operational efficiency.

Reduce Operational Costs

Eliminating the need for specialized, expensive equipment and extensive manual labor lowers overall expenditures. This makes precise data collection more accessible and cost-effective for logging companies.

Inform Strategic Planning

Detailed 3D stump geometry enables optimized logging plans and accurate timber volume estimations. This supports informed strategic decisions and enhanced resource allocation for improved outcomes.

Implementation

1 Capture Stump Imagery. Capture multiple images or short videos of tree stumps from different viewpoints for consistent visual data.

2 Deploy AI System. Install Depth Estimation software on field or office hardware. Confirm all system components are operational.

3 Calibrate Depth Model. Adjust AI model parameters to match camera setups and forest conditions, ensuring optimal accuracy.

4 Process Stump Data. Input captured imagery for automated processing, generating precise depth maps and 3D stump models.

5 Analyze 3D Models. Review generated 3D stump models and depth maps. Integrate this data for enhanced forestry planning and volume assessment.

Source: Analysis based on Patent CN-111010558-B "Stumpage depth map generation method based on short video image" (Filed: November 2021).