The context-centered approach to object detection and recognition is based on the intuition that the contextual information of real-world scenes provides relevant information for ...
The appearance of non-rigid objects detected and tracked in video streams is highly variable and therefore makes the identification of similar objects very complex. Furthermore, i...
—This paper proposes a keyframe-based video object editing scheme for automatic object shape deformation. Except for object segmentation, several technologies are developed in th...
Yanlin Weng, Weiwei Xu, Shichao Hu, Jun Zhang, Bai...
— This paper presents a method to autonomously extract object features that describe their dynamics from active sensing experiences. The model is composed of a dynamics learning ...
This paper presents a robust and efficient skeleton-based graph matching method for object recognition and recovery applications. The novel feature is to unify both object recogni...