Descriptor-Free Multi-view Region Matching for Instance-Wise 3D Reconstruction

Doi, Takuma; Okura, Fumio; Nagahara, Toshiki; Matsushita, Yasuyuki; Yagi, Yasushi

doi:10.1007/978-3-030-69541-5_35

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Multiview Reconstruction Of Small Plants1

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2022

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“…They then aggregated the 2D probabilities onto 3D space and generated the branch structure using the particle-based method (Neubert et al 2007). Doi et al (2020) proposed a method to reconstruct leaf instances from multiview images and applied them to soybeans. They first perform instance segmentation on each 2D image and then estimate the multiview correspondences to yield 3D leaf instances.…”

Section: Multiview Reconstruction Of Small Plantsmentioning

confidence: 99%

3D modeling and reconstruction of plants and trees: A cross-cutting review across computer graphics, vision, and plant phenotyping

Okura

2022

Breed. Sci.

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This paper reviews the past and current trends of three-dimensional (3D) modeling and reconstruction of plants and trees. These topics have been studied in multiple research fields, including computer vision, graphics, plant phenotyping, and forestry. This paper, therefore, provides a cross-cutting review. Representations of plant shape and structure are first summarized, where every method for plant modeling and reconstruction is based on a shape/structure representation. The methods were then categorized into 1) creating non-existent plants ( modeling ) and 2) creating models from real-world plants ( reconstruction ). This paper also discusses the limitations of current methods and possible future directions.

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Section: Multiview Reconstruction Of Small Plantsmentioning

confidence: 99%