3D Reconstruction of Plant Architecture by Grammar-based Modeling and Markov Chain Sampling

نویسنده

  • Florian Schöler
چکیده

The world population is growing rapidly. As a consequence increasingly more products of crop plants are needed. Here, plant breeding gains a special significance. The goal of plant breeding is to develop new cultivars that need less nutrients and at the same time are more resistent to diseases and pests. A deciding factor is the mapping from gene analysis to the phenotype of the plant, i.e., all traits that can be observed from the outside. A major impairment is the so-called phenotyping bottleneck, i.e., the fact that phenotyping is too time-consuming and that current, manual methods are subjective and imprecise. This thesis presents a procedure that is a step toward eliminating the phenotyping bottleneck. A method is presented for the reconstruction of plant architecture from sensor data with the goal of applying it in an automated phenotyping. Several contributions are presented: The reconstruction procedure has three sub-steps that allow phenotyping in increasingly fine detail. A model of the investigated plant, which comprises components, topology and geometry, serves as a compact description of all allowed structures and makes the intrinsic complexity and variability manageable. Above that, the parameters of the model are assigned valid value ranges by an automated skeletonization method. The introduction of the model into the reconstruction allows to regard not only the sensor data as source of evidence, making possible the handling of massive occlusions. In phenotyping coarse categorizations can be replaced by quantified measures and new traits can be investigated. The grapevine plant, especially the grape cluster, serves as application. The grape cluster is a highly complex construct of branches and berries, whose different development stages offer different challenges. In addition, the grape cluster enables a yield estimate and the detection of diseases. The presented procedure is applied on grape clusters in three different development stages and on the venation of vine leaves. A detailed presentation and evaluation is given for the grape cluster development stage of full ripeness. In principle, the presented procedure is extensible to other plants that, like the grape cluster, can be defined by a tree-like branching structure.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Application of a Formal Grammar to Facade Reconstruction in Semiautomatic and Automatic Environments

3d city models are used in a huge number of applications today. They are applicable in the area of urban planning and city development, tourism and marketing and as well for navigation. All these applications need a 3d city model of a large area. And in these days the desire for actuality and a high degree of details is rising. Due to this the modelling of buildings as block models as before is...

متن کامل

New Approaches in 3D Geomechanical Earth Modeling

In this paper two new approaches for building 3D Geomechanical Earth Model (GEM) were introduced. The first method is a hybrid of geostatistical estimators, Bayesian inference, Markov chain and Monte Carlo, which is called Model Based Geostatistics (MBG). It has utilized to achieve more accurate geomechanical model and condition the model and parameters of variogram. The second approach is the ...

متن کامل

A Probabilistic Approach to the Semantic Interpretation of Building Facades

Semantically-enhanced 3D model reconstruction in urban environments is useful in a variety of applications, such as extracting metric and semantic information about buildings, visualizing the data in a way that outlines important aspects, or urban planning. We present a probabilistic image-based approach to the semantic interpretation of building facades. We are motivated by the 4D Atlanta proj...

متن کامل

Financial Risk Modeling with Markova Chain

Investors use different approaches to select optimal portfolio. so, Optimal investment choices according to return can be interpreted in different models. The traditional approach to allocate portfolio selection called a mean - variance explains. Another approach is Markov chain. Markov chain is a random process without memory. This means that the conditional probability distribution of the nex...

متن کامل

A Stochastic Image Grammar for Fine-Grained 3D Scene Reconstruction

This paper presents a stochastic grammar for finegrained 3D scene reconstruction from a single image. At the heart of our approach is a small number of grammar rules that can describe the most common geometric structures, e.g., two straights lines being co-linear or orthogonal, or that a line lying on a planar region etc. With these grammar rules, we re-frame single-view 3D reconstruction probl...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2014