by Thiago T. Santos and Luciano Gebler Computer vision methods based on convolutional neural networks (CNNs) have presented promising results on image-based fruit detection at ground-level for di...
by Thiago T. Santos, Leonardo L. de Souza, Andreza A. dos Santos and Sandra Avila Agricultural applications such as yield prediction, precision agriculture and automated harvesting need systems a...
Coffee Plant 13 – 2018-03-20 by thsant on Sketchfab Thiago Teixeira Santos e Miroslava Rakocevic Three-dimensional digitising of coffee plants on field by multiple stereo vision The representa...
by Andreza Aparecida dos Santos, Sandra Avila e Thiago Teixeira Santos In this work, we modeled the problem of detection of fruit and leaves in viticulture for proximal applications as a supervi...
by Thiago Teixeira Santos, Luı́s Henrique Bassoi, Henrique Oldoni and Roberto Luvisutto Martins This work presents a methodology for 3-D phenotyping of vineyards based on images captured by a l...
We propose the use of state-of-the-art methods for visual odometry to accurately recover camera pose and preliminary three-dimensional models on image acquisition time. Specimens of maize and sun...
Um método para detecção automática de bagas de café em imagens digitais tomadas em campo é apresentado. Ele consiste em uma fase de detecção preliminar de regiões candidatas seguida por...
https://ttsantos.net/2015/10/30/deteccao-automatica-de-bagas-de-cafe-em-imagens-de-campo/
In this work, structure from motion is employed to estimate the position of a hand-held camera, moving around plants, and to recover a sparse 3D point cloud sampling the plants’ surfaces. Multi...
O presente capítulo apresenta uma visão geral dos avanços recentes na fenotipagem em larga escala e como a visão computacional surge como ferramenta para a caracterização fenotípica não-...
This tutorial introduces a SciPy+OpenCV environment and shows how it can address different steps on computer vision research, from initial data exploration to parallel computing implementations.