… Connected contours: A new contour completion model that respects the closureeffect. In
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, IEEE, …

… We find that the learned model generalizes well … contour detection is relatively under-explored
in the literature [49]. At the same time, many works have been devoted to edge detection …

… On the light of this, research in contour detection aims at understanding and modeling
mathematically the features which people (consciously or consciously) use to recognize such line …

… In this section, we introduce local pattern methods, edge grouping methods, and active
contour models for edge and object contour detection. These methods all have relatively simple …

… for transforming the output of any contour detector into a hierarchical region tree. In … of
contour detection. Extensive experimental evaluation demonstrates that both our contour detection …

… , while at the same time, the object contours can be detected effectively. In addition to the …
contour detection performance in comparison to other contour detection models, our model …

… Model description Now we model the visual mechanisms of contour detection based on
contextual interactions through the following dynamical equation,(16) R θ t + 1 ( x , y ) = R θ t ( x , …

… Based on the MCI algorithm, we proposed a fast contour detection model, inspired by the
information processing mechanism in the human primary vision system. The prior filtering and …

… In this section, we propose a new contour detection model based on the center–surround
interaction mechanism in V1. First, we simulate responses in the CRF of V1 neurons. Then, we …

… In this work, we present a reliable contour detection system which can predict both … of a
contour-detection model, since the semantic information is the core to help a model discriminate if …