Plant growth parameter estimation from sparse 3D reconstruction based on highly-textured feature points

2013 ◽  
Vol 14 (6) ◽  
pp. 586-605 ◽  
Author(s):  
Ran Nisim Lati ◽  
Sagi Filin ◽  
Hanan Eizenberg
Keyword(s):  
Parameter Estimation ◽  
Plant Growth ◽  
3D Reconstruction ◽  
Growth Parameter ◽  
Feature Points

A Robust Feature Points Matching Algorithm in 3D Optical Measuring System

2011 ◽  
Vol 383-390 ◽  
pp. 5193-5199 ◽  
Author(s):  
Jian Ying Yuan ◽  
Xian Yong Liu ◽  
Zhi Qiang Qiu
Keyword(s):  
3D Reconstruction ◽  
Digital Camera ◽  
Image Data ◽  
Epipolar Geometry ◽  
Bundle Adjustment ◽  
Measuring System ◽  
Feature Points ◽  
3 Dimensional ◽  
Feature Points Matching ◽  
Optical Measuring

In optical measuring system with a handheld digital camera, image points matching is very important for 3-dimensional(3D) reconstruction. The traditional matching algorithms are usually based on epipolar geometry or multi-base lines. Mistaken matching points can not be eliminated by epipolar geometry and many matching points will be lost by multi-base lines. In this paper, a robust algorithm is presented to eliminate mistaken matching feature points in the process of 3D reconstruction from multiple images. The algorithm include three steps: (1) pre-matching the feature points using constraints of epipolar geometry and image topological structure firstly; (2) eliminating the mistaken matching points by the principle of triangulation in multi-images; (3) refining camera external parameters by bundle adjustment. After the external parameters of every image refined, repeat step (1) to step (3) until all the feature points been matched. Comparative experiments with real image data have shown that mistaken matching feature points can be effectively eliminated, and nearly no matching points have been lost, which have a better performance than traditonal matching algorithms do.

Estimation of growth parameters based on length-stratified age samples

2020 ◽  
Vol 77 (3) ◽  
pp. 439-450 ◽  
Author(s):  
Andrea M.J. Perreault ◽  
Nan Zheng ◽  
Noel G. Cadigan
Keyword(s):  
Parameter Estimation ◽  
Mean Squared Error ◽  
Growth Parameters ◽  
Age Distribution ◽  
Growth Parameter ◽  
Model Parameters ◽  
Second Phase ◽  
Science Literature ◽  
Fisheries Science ◽  
Optimal Approach

Response-selective stratified sampling (RSSS) has been well studied in the statistical literature; however, the application of the resulting statistical theories and methods to a specific case of RSSS in fisheries studies, namely length-stratified age sampling (LSAS), is inadequate. We review nine estimation approaches for RSSS found in the statistical and fisheries science literature in terms of three sampling components: the first phase length composition sample, the second phase age composition sample, and the sampling scheme. We compare the performance in terms of RRMSE (relative root mean squared error) for von Bertalanffy (vonB) growth model parameter estimation using an extensive simulation study. We further demonstrate methods by applying the two best-performing and the most popular methods to estimate the vonB model parameters for American plaice (Hippoglossoides platessoides) in NAFO Divisions 3LNO. Our simulations demonstrated that mis-specifying one or more of the three sampling components increases the RRMSEs, and this effect is magnified when the age distribution is incorrectly specified. The optimal approach for data based on LSAS is the empirical proportion approach, and we recommend this method for growth parameter estimation based on LSAS data.

Development of growth parameter estimation method about plant micro fluidic system

2019 ◽  
Vol 2019.10 (0) ◽  
pp. 19pm5PN346
Author(s):  
Ryo Miyake ◽  
Toshihiro Kasama ◽  
Gononoga Maia ◽  
Yoshishige Endo ◽  
JUangang Guan ◽  
...  
Keyword(s):  
Parameter Estimation ◽  
Estimation Method ◽  
Growth Parameter ◽  
Parameter Estimation Method

scholarly journals Response of seven tomato (Lycopersicon esculentum Mill.) cultivars produced in Benin to salinity stress at young plant stage

2020 ◽  
Vol 7 (8) ◽  
pp. 1-11
Author(s):  
Eliane Kinsou ◽  
Armel Mensah ◽  
David K. Montcho Hambada ◽  
Séraphin Ahissou Zanklan ◽  
Agapit Wouyou ◽  
...  
Keyword(s):  
Salt Stress ◽  
Plant Growth ◽  
Growth Parameters ◽  
Growth Parameter ◽  
Salt Resistance ◽  
Young Plant ◽  
Resistance Level ◽  
Significant Difference ◽  
Plant Stage ◽  
Tomato Cultivars

In this study, we evaluated the salt resistance level of seven tomato cultivars Akikon, Tounvi, Thorgal, F1 Mongal, Padma, Petomech and TLCV15 at young plant stage. The experiment was laid out as a Randomized Complete Design (RCD) with four replications in a greenhouse. Three-week old plants from the seven cultivars were submitted in pots containing a mixture of potting soil and sand to five NaCl concentrations: 0; 30; 60; 90 and 120 mM NaCl corresponding respectively to an electric conductivity of 0.221; 3.827; 6.47; 10.56 and 14.02 dS.m-1 by irrigation every two days. Plant growth parameters were evaluated after two weeks. Salt effect caused a reduction of young plant growth whatever the growth parameter considered with a significant difference among cultivars. Growth of cultivars Padma, Akikon and Petomech was more affected by salt stress with two or three growth parameters significantly reduced at 30 mM NaCl whereas no growth parameter was significantly affected at less than 60 mM NaCl for cultivars Thorgal and Tounvi. Thus, cultivars Akikon, Petomech and Padma appeared as the most sensitive to salt stress. In contrast, cultivars Tounvi and Thorgal appeared as the most salt-resistant. Cultivars F1 Mongal and TLCV15 had intermediary behavior.

scholarly journals A Poisson Equation-Based Method for 3D Reconstruction of Animated Images

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Ziang Lei
Keyword(s):  
3D Reconstruction ◽  
Real Time ◽  
Large Scale ◽  
Least Square ◽  
Reconstruction Method ◽  
Feature Points ◽  
Computing Power ◽  
To Come ◽  
Point Detection ◽  
Considerable Period

3D reconstruction techniques for animated images and animation techniques for faces are important research in computer graphics-related fields. Traditional 3D reconstruction techniques for animated images mainly rely on expensive 3D scanning equipment and a lot of time-consuming postprocessing manually and require the scanned animated subject to remain in a fixed pose for a considerable period. In recent years, the development of large-scale computing power of computer-related hardware, especially distributed computing, has made it possible to come up with a real-time and efficient solution. In this paper, we propose a 3D reconstruction method for multivisual animated images based on Poisson’s equation theory. The calibration theory is used to calibrate the multivisual animated images, obtain the internal and external parameters of the camera calibration module, extract the feature points from the animated images of each viewpoint by using the corner point detection operator, then match and correct the extracted feature points by using the least square median method, and complete the 3D reconstruction of the multivisual animated images. The experimental results show that the proposed method can obtain the 3D reconstruction results of multivisual animation images quickly and accurately and has certain real-time and reliability.

scholarly journals Multi-model inference for growth parameter estimation of the Bigeye Croaker Micropogonias megalops in the Upper Gulf of California

2015 ◽  
Vol 50 (1) ◽  
pp. 25-38 ◽  
Author(s):  
E. Alberto Aragón-Noriega ◽  
Edgar Alcántara-Razo ◽  
Wenceslao Valenzuela-Quiñónez ◽  
Gerardo Rodríguez-Quiroz
Keyword(s):  
Parameter Estimation ◽  
Gulf Of California ◽  
Growth Parameter ◽  
Model Inference

Effect of Some Bacterial and Fungal Bioagents for Management of Root-knot Nematode and Soil Born Fungus in Cucumber under Protected Conditions

2021 ◽  
Author(s):  
Jaydeep Ashok Patil ◽  
Saroj Yadav ◽  
Sewak Ram
Keyword(s):  
Plant Growth ◽  
Complex Disease ◽  
Trichoderma Viride ◽  
Growth Parameter ◽  
Shoot Length ◽  
Root Weight ◽  
Liquid Formulation ◽  
Root Knot Nematode ◽  
Untreated Check ◽  
Shoot Weight

Abstract Background: Complex disease caused by root-knot nematode and Fusarium fungus in cucumber is the most destructive disease under polyhouse conditions. The study was conducted to determine the potential of biocontrol agents viz. Trichoderma viride, Pseudomonas fluorescence, Purpureocillium lilacinum against root-knot nematode, Meloidogyne incognita and Fusarium oxysporum f. sp. cucumerinum disease complex on cucumber.Results: All bioagents were taken @ 0.3 and 0.5 g/kg soil and liquid formulation of bioagents, @ 0.5 and 1 ml/ kg soil, Chemical checks as well as untreated check were also maintained. The bio-agents were mixed with the potted soil treatment wise. All the treatments significantly improved the plant growth parameter, viz., shoot length, root length, fresh shoot weight, fresh root weight, dry shoot weight and dry root weight as compared to untreated check. However, maximum improvement in plant growth parameter was recorded in case of carbofuran followed by higher dose of liquid formulation of bioagents. Among bioagents, liquid formulation of bioagents was significantly improved the plant growth parameter, viz., shoot length (147.3), fresh shoot weight (55.6), dry shoot weight (22.51) and dry root weight (4.50) and most effective in suppressing root knot nematode galling (43) and final population in soil (131) and fungus wilt incidence (25 %) at 30th day of after germination followed by P. lilacinum T. viride and P. fluorescence. Conclusion: The results suggest that the liquid formulation of bioagents was more effective in suppression of root-knot nematode and fungus complex disease than the powder formulations of bioagents. More studies should be needed in future to evaluate the efficacy of bioagents as seed treatments and soil applications under field conditions.

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