In this paper, we propose a Bayesian approach to video object segmentation. Our method consists of two stages. In the first stage, we partition the video data into a set of 3D wate...
We propose a methodology for reconstructing large– scale architectural scenes from low–altitude aerial images, in an efficient, accurate and fully automatic way. Towards this...
Adriano B. Huguet, Rodrigo L. Carceroni, Arnaldo d...
This work contributes to the robotic bin-picking problem, and more specifically to the problem of localizing piled box-like objects. We employ range imagery, and use box-like Supe...
In this paper, we propose a novel predictive model for
object boundary, which can integrate information from any
sources. The model is a dynamic “object” model whose
manifes...
Tian Shen (Lehigh University), Hongsheng Li (Lehig...
Abstract. We present an active surface model designed for the segmentation of Drosophila Schneider cell nuclei and nucleoli from wide-field microscopic data. The imaging technique...
Margret Keuper, Jan Padeken, Patrick Heun, Hans Bu...