Cross-Modal Object Recognition Is Viewpoint-Independent

Cross-Modal Object Recognition Is Viewpoint-Independent

BACKGROUND Previous research suggests that visual and haptic object recognition are viewpoint-dependent both within- and cross-modally. However, this conclusion may not be generally valid as it was reached using objects oriented along their extended y-axis, resulting in differential surface processing in vision and touch. In the present study, we removed this differential by presenting objects ...

Classifier Independent Viewpoint Selection for 3-D Object Recognition

3–D object recognition has been tackled by passive approaches in the past. This means that based on one image a decision for a certain class and pose must be made or the image must be rejected. This neglects the fact that some other views might exist, which allow for a more reliable classification. This situation especially arises if certain views of or between objects are ambiguous. In this pa...

Integrated Viewpoint Fusion and Viewpoint Selection for Optimal Object Recognition

In the past decades, most object recognition systems were based on passive approaches. But in the last few years a lot of research was done in the field of active object recognition, that is selectively moving a sensor/camera around a considered object in order to acquire as much information about it as possible. In this paper we present an active object recognition approach that solves the pro...

Illumination Independent Object Recognition

Low-level correlations between object properties and viewpoint can cause viewpoint-dependent object recognition.

Viewpoint-dependent recognition performance of 3-D objects has often been taken as an indication of a viewpoint-dependent object representation. This viewpoint dependence is most often found using metrically manipulated objects. We aim to investigate whether instead these results can be explained by viewpoint and object property (e.g. curvature) information not being processed independently at ...