AI News, 3D reconstruction of hidden branch structures made by using image analysis and AI tech
3D reconstruction of hidden branch structures made by using image analysis and AI tech
By combining the original image-to-image translation approach in a Bayesian deep learning framework and 3D reconstruction, a group of researchers led by Fumio Okura estimated the existence probability of branches that are hidden under leaves in images obtained.
They will be greatly helpful in realizing future cultivation technology to allow for (a) detailed daily management of branch/leaf level process of growing plants in places where cultivators' vision can't reach by filming with a drone or robot, (b) coming up with best trimming or pruning methods for plants, and (c) forecasting future growth of plants.
Reconstructing Plants in 3D from a Single Image Using Analysis-by-Synthesis
Mature computer vision techniques allow the reconstruction of challenging 3D objects from images.
We propose to generate a 3D model of a plant, using an analysis-by-synthesis method mixing information from a single image and a priori knowledge of the plant species.
Moreover, varying parameter values of the generative model (main branching structure of the plant and foliage), we produce a series of candidate models.
- On 19. juni 2021
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