… that uses combinations of a small number of object views to deal with … view-combinations
approach can use views of different class members rather than multiple views of a single object…

… views in the case of 3-D object recognition. This is acceptable when different aspects of an
object produce views … When complex objects are considered (ie, having very different aspects)…

… Recognition System The design of our object recognition system is based on the combination
… 2.1, it is possible to store threedimensional objects as collections of two-dimensional views …

… As a result, visual object recognition has become a real … treat object recognition as a complex
process which requires powerful computers to run, we focus on simple linear combinations. …

… We present a novel Object Recognition approach based on affine invariant regions. It actively
counters the problems related to the limited repeatability of the region detectors, and the …

We discuss an algorithm that enables a machine-vision system to recognize a three-dimensional
object from a series of multiple views. The algorithm uses pseudoreflection tomography …

… of the object classification and localization. In this active approach object recognition is not
… a well directed combination of a funded fusion of images and an active viewpoint selection. …

… Three-dimensional (3D) object recognition is widely used in … Multi-view 3D object recognition
based on the deep learning … the backbone network, and views from multiple viewpoints can …

… visual object recognition. According to the view-specificity hypothesis, object recognition
is based on particular learned views, whereas the motion-specificity hypothesis states that …

… combining features from multiple views to provide for full 3D object recognition and better
modeling of object … The feature combinations are performed by measuring the closeness of the …