DaVinci 3D Text Tracking: Object Tracking in 3D Space
DaVinci 3D Text Camera Tracking
DaVinci's 3D text tracking offers a variety of tracking modes. If your camera movement is not limited to simple left-right panning, the 3D tracking effects in DaVinci Resolve can deliver far superior results, adding depth and richness to your footage. This allows you to incorporate not just 2D images but also 3D objects seamlessly into your videos. Below, I’ve included a brief video to quickly share the process. For a more in-depth guide on image tracking, I’ve also linked to another creator’s video—feel free to check it out and support them! DaVinci 3D Text Camera Tracking
Troubleshooting Tracking and Enhancing Accuracy
If the tracking results from the video above aren’t ideal or the contrast in your footage is too low, here are some helpful tools and techniques to improve accuracy and final results:
Using Spline Masks
In scene creation, masks are often necessary to hide unwanted elements. Based on my experience, DaVinci Fusion typically supports spline masks for input, meaning image-based alpha masks cannot be directly used. However, most roto software can export masks in spline format, which can be easily imported into Fusion. If you use software like Mocha or Silhouette, you can import spline masks for precise masking operations.
If you have an image-based alpha mask, you can add it to the original image using Boolean nodes. However, note that the camera tracker doesn’t handle alpha edges as effectively as spline curves, which might lead to edge-slipping issues.
Dealing with Noisy or Grainy Images
Noisy or grainy images can make camera solving more challenging and affect the final composite quality. To address this, analyze the color channels of your footage and choose the cleanest, highest-contrast channel for tracking. For instance, in some cases, the green channel is cleaner than the blue channel, so selecting the green channel might yield better results.
Enhancing Contrast for Better Tracking
Low-contrast footage can make it difficult for trackers to detect details. To counter this, use a color correction node to boost contrast, enhancing the tracking performance.
Basic Camera Tracker Operations
When using a camera tracker, understanding auto-tracking settings is crucial. Adjust the detection threshold according to the contrast in your footage to control the tracker’s sensitivity to edges. Lower thresholds result in more tracking points, while higher thresholds focus on the most contrasting edges, adding fewer points.
By mastering these techniques and tools, you can significantly improve the effectiveness of DaVinci Resolve’s 3D text and object tracking for polished, professional results.
Comentários