One risk inherent in the use of software components has been that the behavior of assemblies of components is discovered only after their integration. The objective of our work is to enable designers to use known (and certified) component properties as parameters to models that can be used to predict assembly-level properties. Our concern in this paper is with empirical component properties and...

Tracking of articulated objects is a challenging task in Computer Vision. A highly target specific model can improve the robustness of the tracking by eliminating or reducing the ambiguities in the association task. This paper presents a flexible framework, which allows to build target specific, part-based models for arbitrary articulated objects. The rigid parts are described by hierarchical s...

We introduce a novel approach to the problem of localizing objects in an image and estimating their fine-pose. Given exact CAD models, and a few real training images with aligned models, we propose to leverage the geometric information from CAD models and appearance information from real images to learn a model that can accurately estimate fine pose in real images. Specifically, we propose FPM,...

Statistical Part-Based Models: Theory and Applications in Image Similarity, Object Detection and Region Labeling

Simultaneously detecting an object and determining its pose has become a popular research topic in recent years. Due to the large variances of the object appearance in images, it is critical to capture the discriminative object parts that can provide key information about the object pose. Recent part-based models have obtained state-of-theart results for this task. However, such models either r...

To deal with dynamic changes of their environment, agents need an adaptive mechanism. This paper proposes an integration of classifier-based framework (named XCS) and an agent-based framework (named DIMA). The result of this integration is an adaptiveagent framework. It has been applied to simulate economic models.

Fisher Vectors and related orderless visual statistics have demonstrated excellent performance in object detection, sometimes superior to established approaches such as the Deformable Part Models. However, it remains unclear how these models can capture complex appearance variations using visual codebooks of limited sizes and coarse geometric information. In this work, we propose to interpret F...

one of the most important issues in the plant layout design especially in mass production organizations with high inter-plant logistics is‘material flow and inter-plant traffic analysis and its effects on the production capabilities or pauses in production lines. in this paper the inter-plant traffic analysis issue on the basis of single channel queue model (m/m/1) is analyzed in a carmaker c...