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Université de Neuchâtel

Embedded 3D vision system for automated micro-assembly

Mure-Dubois, James ; Hügli, Heinz

In: Two- and Three-Dimensional Methods for Inspection and Metrology IV (Proceedings of SPIE), 2008, vol. 6382, no. 63820J, p. 1-11

Machine vision plays an important role in automated assembly. However, present vision systems are not adequate for robot control in an assembly environment where individual components have sizes in the range of 1 to 100 micrometers, since current systems do not provide sufficient resolution in the whole workspace when they are fixed, and they are too bulky to be brought close enough to the...

Université de Neuchâtel

Adaptive color image compression based on visual attention

Ouerhani, Nabil ; Bracamonte, Javier ; Hügli, Heinz ; Ansorge, Michael ; Pellandini, Fausto

In: Proceedings of the 11th International Conference on Image Analysis and Processing (ICIAP), 2001, vol. 11, p. 416-421

This paper reports an adaptive still color image compression method which produces automatically selected ROI with a higher reconstruction quality with respect to the rest of the input image. The ROI are generated on-the fly with a purely data-driven technique based on visual attention. Inspired from biological vision, the multicue visual attention algorithm detects the most visually salient...

Université de Neuchâtel

Real-time visual attention on a massively parallel SIMD architecture

Ouerhani, Nabil ; Hügli, Heinz

In: Real-Time Imaging, 2003, vol. 9(3), p. 189-196

Visual attention is the ability to rapidly detect the visually salient parts of a given scene on which higher level vision tasks, such as object recognition, can focus. Found in biological vision, this mechanism represents a fundamental tool for computer vision. This paper reports the first real-time implementation of the complete visual attention mechanism on a compact and low-power...

Université de Neuchâtel

Empirical Validation of the Saliency-based Model of Visual Attention

Ouerhani, Nabil ; Hügli, Heinz ; Müri, René ; Von Wartburg, Roman

In: Electronic Letters on Computer Vision and Image Analysis, 2003, vol. 3(1), p. 13-23

Visual attention is the ability of the human vision system to detect salient parts of the scene, on which higher vision tasks, such as recognition, can focus. In human vision, it is believed that visual attention is intimately linked to the eye movements and that the fixation points correspond to the location of the salient scene parts. In computer vision, the paradigm of visual attention has...

Université de Neuchâtel

Visual attention-based robot self-localization

Ouerhani, Nabil ; Bur, Alexandre ; Hügli, Heinz

In: In Proceeding of European Conference on Mobile Robotics, 2005, p. 8-13

This paper reports a landmark-based localization method relying on visual attention. In a learning phase, the multi-cue, multi-scale saliency-based model of visual attention is used to automatically acquire robust visual landmarks that are integrated into a topological map of the navigation environment. During navigation, the same visual attention model detects the most salient visual features...