Editable Parametric Dense Foliage From 3D Capture
We present an algorithm to compute parametric models of dense foliage. The guiding principles of our work are automatic reconstruction and compact artist friendly representation. We use Bezier patches to model leaf surface, which we compute from images and point clouds of dense foliage. We present an algorithm to segment individual leaves from colour and depth data. We then reconstruct the Bezier representation from segmented leaf points clouds using non-linear optimisation. Unlike previous work, we do not require laboratory scanned exemplars or user intervention. We also demonstrate intuitive manipulators to edit the reconstructed parametric models. We believe our work is a step towards making captured data more accessible to artists for foliage modelling.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
A Pyramid CNN for Dense-Leaves Segmentation
Automatic detection and segmentation of overlapping leaves in dense foliage can be a difficult task, particularly for leaves with strong textures and high occlusions. We present Dense-Leaves, an image dataset with ground…
SegmentationStereoscopic Depth Perception Through Foliage
Both humans and computational methods struggle to discriminate the depths of objects hidden beneath foliage. However, such discrimination becomes feasible when we combine computational optical synthetic aperture sensing …
FOLIAGE: Towards Physical Intelligence World Models Via Unbounded Surface Evolution
Physical intelligence -- anticipating and shaping the world from partial, multisensory observations -- is critical for next-generation world models. We propose FOLIAGE, a physics-informed multimodal world model for unbou…
counterfactualCross-Modal RetrievalThrough-Foliage Tracking with Airborne Optical Sectioning
Detecting and tracking moving targets through foliage is difficult, and for many cases even impossible in regular aerial images and videos. We present an initial light-weight and drone-operated 1D camera array that suppo…
Anomaly DetectionAnalysis and Prediction of Coverage and Channel Rank for UAV Networks in Rural Scenarios with Foliage
Unmanned aerial vehicles (UAVs) are expected to play a key role in 6G-enabled vehicular-to-everything (V2X) communications requiring high data rates, low latency, and reliable connectivity for mission-critical applicatio…