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Université de Neuchâtel

Motion integration in visual attention models for predicting simple dynamic scenes

Bur, Alexandre ; Wurtz, Pascal ; Muri, Rene M. ; Hügli, Heinz

In: Human Vision and Electronic Imaging XII (Proceedings of SPIE), 2007, vol. 6492, no. 47, p. 649219- 649229

Visual attention models mimic the ability of a visual system, to detect potentially relevant parts of a scene. This process of attentional selection is a prerequisite for higher level tasks such as object recognition. Given the high relevance of temporal aspects in human visual attention, dynamic information as well as static information must be considered in computer models of visual attention....

Université de Neuchâtel

3D vision methods and selected experiences in micro and macro applications

Hügli, Heinz ; Mure-Dubois, James

In: Two- and Three-Dimensional Methods for Inspection and Metrology IV (Proceedings of SPIE), 2006, vol. 6382, no. 10, p. 638209- 638216

The paper provides considerations relative to the application of 3D vision methods and presents some lessons learnt in this respect by presenting four 3D vision tasks and discussing the selection of vision sensing devices meant to solving the task. After a short reminder of 3D vision methods of interest for optical range imaging for microvision and macrovision applications, the paper enumerates...

Université de Neuchâtel

Multiresolution reliability scheme for range image filtering

Zamofing, Thierry ; Hügli, Heinz

In: Two- and Three-Dimensional Vision Systems for Inspection, Control, and Metrology II (Proceedings of SPIE), 2006, vol. 5606, no. 9, p. 134-144

A large number of 3D cameras suffer from so-called holes in thedata, i.e. the measurement lattice is affected by invalidmeasurements and the range image has undefined values.Conventional image filters used for removing the holes perform notwell in presence of holes with large varying hole sizes. The novelhole-filling method presented in this paper operates onreliability attributed range images...

Université de Neuchâtel

Applied multifocus 3D microscopy

Zamofing, Thierry ; Hügli, Heinz

In: Two- and Three-Dimensional Vision Systems for Inspection, Control, and Metrology (Proceedings of SPIE), 2003, vol. 5265, no. 19, p. 134-144

The depth from focus measurement principle relies on the detection of the optimal focusing distance for measuring the depth map of an object and finding its 3D shape. The principle is most effective at microscopic ranges where it is usually found implemented around a z-controlled microscope and sometimes named multifocus 3D microscopy. Assuch, the method competes with many other 3D measurement...

Université de Neuchâtel

3D modeling from AFM measurements

Jost, Timothée ; Hügli, Heinz

In: Metrology-based Control for Micro-Manufacturing (Proceedings of SPIE), 2001, vol. 4275, no. 8, p. 61-70

There exist many techniques for the measurement of micro and nano surfaces and also several conventional ways to represent the resulting data, such as pseudo color or isometric 3D. This paper addresses the problem of building complete 3D micro-object models from measurements in the submicrometric range. More specifically, it considers measurements provided by an atomic-force microscope (AFM) and...

Université de Neuchâtel

Drop volume measurements by vision

Hügli, Heinz ; Gonzalez, Jose J.

In: Machine Vision Applications in Industrial Inspection VIII (Proceedings of SPIE), 2000, vol. 3966, no. 11, p. 60-67

A specific configuration for liquid flow metrology consists of a flow of falling drops coupled with a preferred measuring method that derives the flow directly from the drop count. Given the inaccuracy of this counting method, alternative methods have been proposed that measure the volume of each falling drop. The principle consists in deriving the volume from geometric measurements obtained by...

Université de Neuchâtel

Configuration assistant for versatile vision based inspection systems

Hüsser, Olivier ; Hügli, Heinz

In: Machine Vision Applications in Industrial Inspection VIII (Proceedings of SPIE), 2000, vol. 3966, p. 259-269

Nowadays, vision-based inspection systems are present in many stages of the industrial manufacturing process. Their versatility, which permits to accommodate a broad range of inspection requirements, is however limited by the time consuming system setup performed at each production change. This work aims at providing a configuration assistant that helps to speed up this system setup, considering...

Université de Neuchâtel

Color digitizing and modeling of free-form 3D Objects

Jost, Timothée ; Schütz, Christian L. ; Hügli, Heinz

In: Three-Dimensional Image Capture and Applications II (Proceedings of SPIE), 1999, vol. 3640, p. 38-48

This paper deals with the problem of capturing the color information of physical 3D objects thanks to a class of digitizers providing color and range data, like range finders based on structured lighting. It appears typically in a modeling procedure that aims at building a realistic virtual 3D model. The color data delivered by such scanners basically express the reflected color intensity of the...

Université de Neuchâtel

Augmented reality using range images

Schütz, Christian L. ; Hügli, Heinz

In: Stereoscopic Displays and Virtual Reality Systems IV (Proceedings of SPIE), 1997, vol. 3012, p. 472-478

This paper proposes range imaging as a means to improve object registration in an augmented reality environment. The addressed problem deals with virtual world construction from complex scenes using object models. During reconstruction, the scene view is augmented by superimposing virtual object representations from a model database. The main difficulty consists in the precise registration of a...

Université de Neuchâtel

Change detection in range imaging for 3D scene segmentation

Schütz, Christian L. ; Hügli, Heinz

In: International Symposium on Lasers, Optics and Vision for Productivity in Manufacturing I (Proceedings of SPIE), 1996, vol. 2786, no. 98, p. 1-9

This paper deals with the problem of segmenting a 3D scene obtained by range imaging. It assumes scenes of arbitrary complexity in which the objects to be recognized are newly added or removed and investigates how the methods of change detection and image difference used in classical image processing can be used in range imaging. In a first step, we consider the case of ideal range images and...