In this paper, we propose an invariant signature representation for appearances of 3-D object under varying view and illumination, and a method for learning the signature from multi-view appearance examples. The signature, a nonlinear feature, provides a good basis for 3-D object detection and pose estimation due to its following properties: (1) Its location in the signature feature space is a ...

We propose a novel scheme for using supervised learning for function based classification of objects in 3D images. During the learning process, a generic multi-level hierarchical description of object classes is constructed. The object classes are described in terms of functional components. The multi-level hierarchy is designed and constructed using a large set of signature-based reasoning and...

objectives: alzheimer’s disease causes many negative effects on the individual's physical, psychological and cognitive conditions. the multi sensory stimulation helps the patients to improve their physical, psychological and cognitive conditions. the aim of this study is to determine the effect of multi sensory stimulation on cognitive status and quality of life of the patients with alzhei...

the object of this paper is to establish certain generalized fractional integration and differentiation involving generalized mittag-leffler function defined by salim and faraj [25]. the considered generalized fractional calculus operators contain the appell's function $f_3$ [2, p.224] as kernel and are introduced by saigo and maeda [23]. the marichev-saigo-maeda fractional calculus operat...

Object re-identification, such as vehicle re-identification or pedestrian plays a significant role in intelligent video surveillance systems for public security. Due to viewpoint variations and appearance changes, both pedestrians vehicles usually have complex intra-class variations. However, most existing object methods often use sample-level triplet loss function cooperating with single-proxy...

Detecting objects and estimating their 6D poses is essential for automated systems to interact safely with the environment. Most pose estimators, however, rely on a single camera frame suffer from occlusions ambiguities due object symmetries. We overcome this issue by presenting novel symmetry-aware multi-view estimator called SyMFM6D. Our approach efficiently fuses RGB-D frames multiple perspe...

In this paper, we present a multi-formalism modeling framework (abbreviated by MFMF) for modeling and simulation. The proposed framework is defined based on the concepts of meta-models and uses object-orientation to overcome the complexities and to enhance the extensibility. The framework can be used as a basis for modeling by various formalisms and to support model composition in a unified man...