6 papers
Ellipse R-CNN: Learning to Infer Elliptical Object from Clustering and Occlusion
Wenbo Dong, Pravakar Roy, Cheng Peng +1
Images of heavily occluded objects in cluttered scenes, such as fruit clusters in trees, are hard to segment. To further retrieve the 3D size and 6D pose of each individual object…
MinneApple: A Benchmark Dataset for Apple Detection and Segmentation
Nicolai Häni, Pravakar Roy, Volkan Isler
In this work, we present a new dataset to advance the state-of-the-art in fruit detection, segmentation, and counting in orchard environments. While there has been significant rece…
Semantics-Aware Image to Image Translation and Domain Transfer
Pravakar Roy, Nicolai Häni, Jun-Jee Chao +1
Image to image translation is the problem of transferring an image from a source domain to a different (but related) target domain. We present a new unsupervised image to image tra…
A Comparative Study of Fruit Detection and Counting Methods for Yield Mapping in Apple Orchards
Nicolai Häni, Pravakar Roy, Volkan Isler
We present new methods for apple detection and counting based on recent deep learning approaches and compare them with state-of-the-art results based on classical methods. Our goal…
Semantic Mapping for Orchard Environments by Merging Two-Sides Reconstructions of Tree Rows
Wenbo Dong, Pravakar Roy, Volkan Isler
Measuring semantic traits for phenotyping is an essential but labor-intensive activity in horticulture. Researchers often rely on manual measurements which may not be accurate for…
Vision-Based Preharvest Yield Mapping for Apple Orchards
Pravakar Roy, Abhijeet Kislay, Patrick A. Plonski +2
We present an end-to-end computer vision system for mapping yield in an apple orchard using images captured from a single camera. Our proposed system is platform independent and do…