This paper proposes a novel technique for fruit detection in natural environments which is
applicable in automatic harvesting robots, yield estimation systems and quality monitoring …

In object-based image analysis (OBIA), object classification performance is jointly
determined by image segmentation, sample or rule setting, and classifiers. Typically, as a …

Man-made object detection is of great significance in both military and civil areas, such as
search-and-rescue missions at sea, traffic signs recognition during visual navigation, and …

Shape representation and matching is one of the fundamental problems in compute vision.
In this paper, we propose a novel shape contour descriptor, called curvature salience …

Abstract 3D local shapes are a critical cue for object recognition in 3D point clouds. This
paper presents an instance-based 3D object recognition method via informative and …

A new approach for 2D to 3D garment retexturing is proposed based on Gaussian mixture
models and thin plate splines (TPS). An automatically segmented garment of an individual is …

In order to solve detection difficulties caused by the variable contours of the object and
complex scene, the salient contour based method is proposed in this work. We directly …

The research in this thesis focused on developing an automatic video analysis approach for
roadside object detection and classification. It investigated the problem of detecting roadside …