20 research outputs found
Seeing Tree Structure from Vibration
Humans recognize object structure from both their appearance and motion;
often, motion helps to resolve ambiguities in object structure that arise when
we observe object appearance only. There are particular scenarios, however,
where neither appearance nor spatial-temporal motion signals are informative:
occluding twigs may look connected and have almost identical movements, though
they belong to different, possibly disconnected branches. We propose to tackle
this problem through spectrum analysis of motion signals, because vibrations of
disconnected branches, though visually similar, often have distinctive natural
frequencies. We propose a novel formulation of tree structure based on a
physics-based link model, and validate its effectiveness by theoretical
analysis, numerical simulation, and empirical experiments. With this
formulation, we use nonparametric Bayesian inference to reconstruct tree
structure from both spectral vibration signals and appearance cues. Our model
performs well in recognizing hierarchical tree structure from real-world videos
of trees and vessels.Comment: ECCV 2018. The first two authors contributed equally to this work.
Project page: http://tree.csail.mit.edu
Tree species diversity and abundance in coffee farms adjacent to areas of different disturbance histories in Mabira forest system, central Uganda
Metabolismo de nitrogênio em dois sistemas de cultivo de café sob veranico da estação úmida
Com o objetivo de avaliar o efeito do veranico ocorrido na estação úmida sobre o metabolismo de nitrogênio em cafeeiros em sistema a pleno sol e associados com abacateiro (Persea americana Mill.) e ingazeiro (Inga edulis Mart.), foi realizado este experimento. O estudo foi conduzido em propriedade situada no município de Barra do Choça, BA, composto por plantas de café (Coffea arabica L.), variedade Catuaí, sendo caracterizados dois campos experimentais (sistema sombreado x sistema a pleno sol). As avaliações foram realizadas em janeiro (período de veranico) e março (final da estação úmida), em cinco repetições por campo experimental. Os dados foram submetidos ao teste t por meio do programa SAEG, versão 9.1. Maior teor de NO3 - foi verificado no sistema a pleno sol, tanto no período de veranico como no final da estação úmida. Em março foi observado maior acúmulo de N-orgânico no terço superior do cafeeiro a pleno sol e no terço médio do cafeeiro sombreado. Maiores teores de nitrogênio total e a tendência de maior atividade enzimática da redutase do nitrato foram verificados nos sistemas arborizados, quando avaliados dentro do mesmo terço do cafeeiro nas duas estações
Seeing Tree Structure from Vibration
Humans recognize object structure from both their appearance and motion; often, motion helps to resolve ambiguities in object structure that arise when we observe object appearance only. There are particular scenarios, however, where neither appearance nor spatial-temporal motion signals are informative: occluding twigs may look connected and have almost identical movements, though they belong to different, possibly disconnected branches. We propose to tackle this problem through spectrum analysis of motion signals, because vibrations of disconnected branches, though visually similar, often have distinctive natural frequencies. We propose a novel formulation of tree structure based on a physics-based link model, and validate its effectiveness by theoretical analysis, numerical simulation, and empirical experiments. With this formulation, we use nonparametric Bayesian inference to reconstruct tree structure from both spectral vibration signals and appearance cues. Our model performs well in recognizing hierarchical tree structure from real-world videos of trees and vessels.NSF (Grants 1231216, 1212849 and 1447476)ONR MURI (Grant N00014-16-1-2007