Computer stereo plotting for 3-D reconstruction of a maize canopy

Ivanov, N.; Boissard, P.; Chapron, M.; Andrieu, Bruno

doi:10.1016/0168-1923(94)02204-w

Cited by 82 publications

(48 citation statements)

References 13 publications

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“…Stereo-photography uses a stereo imaging system to create partial 3D models by digitizing the upper layer soybean canopy leaves. Two photographs from the canopy are simultaneously taken from known positions, and corresponding points on each image are matched, allowing the determination the points' 3D coordinates [4,5]. This allows the acquisition of structural information on the level of single leaves (e.g., 3D leaf position, leaf inclination angles).…”

Section: Introductionmentioning

confidence: 99%

Assessment of Light Environment Variability in Broadleaved Forest Canopies Using Terrestrial Laser Scanning

et al. 2010

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Light availability inside a forest canopy is of key importance to many ecosystem processes, such as photosynthesis and transpiration. Assessment of light availability and within-canopy light variability enables a more detailed understanding of these biophysical processes. The changing light-vegetation interaction in a homogeneous oak (Quercus robur L.) stand was studied at different moments during the growth season using terrestrial laser scanning datasets and ray tracing technology. Three field campaigns were organized at regular time intervals

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Section: Introductionmentioning

confidence: 99%

Assessment of Light Environment Variability in Broadleaved Forest Canopies Using Terrestrial Laser Scanning

et al. 2010

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“…Ivanov et al (1995) used top down stereo images of maize plants in the fields to find structural parameters such as leaf orientation, leaf area distribution and leaf position to construct a canopy model. Even after performing destructive analysis of the of the plant to view inner leafs, the 3D model properties were not promising.…”

Section: Stereo Vision In Agriculturementioning

confidence: 99%

Indoor and outdoor depth imaging of leaves with time-of-flight and stereo vision sensors: Analysis and comparison

Kazmi

Foix

Alenyà

et al. 2014

ISPRS Journal of Photogrammetry and Remote Sensing

116

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In this article we analyze the response of Time of Flight cameras (active sensors) for close range imaging under three different illumination conditions and compare the results with stereo vision (passive) sensors. Time of Flight sensors are sensitive to ambient light and have low resolution but deliver high frame rate accurate depth data under suitable conditions. We introduce some metrics for performance evaluation over a small region of interest. Based on these metrics, we analyze and compare depth imaging of leaf under indoor (room) and outdoor (shadow and sunlight) conditions by varying exposures of the sensors. Performance of three different time of flight cameras (PMD CamBoard, PMD CamCube and SwissRanger SR4000) is compared against selected stereo-correspondence algorithms (local correlation and graph cuts). PMD CamCube has better cancellation of sunlight, followed by CamBoard, while SwissRanger SR4000 performs poorly under sunlight. stereo vision is more robust to ambient illumination and provides high resolution depth data but it is constrained by texture of the object along with computational efficiency. Graph cut based stereo correspondence algorithm can better retrieve the shape of the leaves but is computationally much more expensive as compared to local correlation. Finally, we propose a method to increase the dynamic range of the ToF cameras for a scene involving both shadow and sunlight exposures at the same time using camera flags (PMD) or confidence matrix (SwissRanger).

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“…These models are very compact and parsimonious, and give the user access to standard mathematical tools for modeling leaf shape transforms or analyzing derivatives. They have been used to reconstruct 3D plants from digitised partial data [22], [23], [20] or in models that concentrate on leaf extension [24], [25], [26], [27], [28]. In such cases, unknown parameters are considered as random variables that follow pre-defined or measured statistical laws [13], [20], [17].…”

Section: Related Workmentioning

confidence: 99%

A plastic, dynamic and reducible 3D geometric model for simulating gramineous leaves

Fournier

Pradal

2012

2012 IEEE 4th International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications

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Abstract-Unlike trees, the 3D architecture of gramineous plants is much more related to the shapes of its leaves than the arrangement of its branches. Many modelling efforts have thus concentrated on correctly capturing its complex shape at different stages and use them as scalable geometric primitives. Still, additional control of such objects is needed in the context of Functional Structural Modelling. The objective of this work is to propose a plastic and dynamic 3D leaf model that is well suited for such uses, still able to capture a variety of observed static shapes. Leaf shape is modeled by a parametric surface describing leaf midrib curvature, leaf width variation, undulation of leaf margins and twist along the midrib. Meshes can be generated from these surfaces, and reduced using a decimation algorithm. The model can be fitted with data or with curves drawn by user interaction. Morphological operators are defined and allows for plastic deformation of the control curves. The dynamics of shape acquisition can also be specified, and combined with morphological operators to simulate various scenarios of evolution and responses to stresses. The capabilities of the model are demonstrated through several cases of use. Future directions of research are thought to be a better integration of mechanical or physiological constraints that would reduce the model plasticity but avoid user-induced unrealistic simulation.

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Computer stereo plotting for 3-D reconstruction of a maize canopy

Cited by 82 publications

References 13 publications

Assessment of Light Environment Variability in Broadleaved Forest Canopies Using Terrestrial Laser Scanning

Assessment of Light Environment Variability in Broadleaved Forest Canopies Using Terrestrial Laser Scanning

Indoor and outdoor depth imaging of leaves with time-of-flight and stereo vision sensors: Analysis and comparison

A plastic, dynamic and reducible 3D geometric model for simulating gramineous leaves

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