Search results for "Computer Vision and Pattern Recognition"

View planning algorithms for fully automatic 3D acquisition of unknown objects

2013

International audience; This paper addresses the view planning problem for the digitization of 3D objects without prior knowledge on their shape and presents a novel method called Orientation, Angle and Covering (OAC). The proposed method is based on a combination of two concepts: the Mass Vector Chains (MVC) and the Measurability Matrix. The MVC allows to define the global orientation of the scanned part. All of the view points are sorted using an orientation criterion to define a first set of candidates for the Next Best View (NBV). The Measurability Matrix allows to determine the coverage rate for each candidate. The covering criterion leads to reduce the number of view points of the fir…

Reconstruction monoculaire 3D de scènes agronomiques

2011

To go further in the analysis of parameters (infection rate, yield, leaf area...) of an agronomic scene, the contribution of three-dimensional information using 3D acquisition of such a scene is a relevant solution. In this paper, we propose adapting the "Shape From Focus" method to the macroscopic domain, and we clarify the reasons for this choice.

Line Matching across Catadioptric Images under Short-Baseline Motion

2008

International audience; Line matching across catadioptric images using line intersections with focus on short baseline motion of the imaging system is proposed. The relationship between images of constructing lines of an intersection on unitary sphere is studied and angle consistency and antipodal consistency are introduced as two useful properties which can be employed to find putative intersections correspondence and remove the outliers. The necessary equations for adapting boundary of a rectangular patch to the geometry of the catadioptric images are also derived and a standard correlation is used for measuring similarities of the intersections. Experimental results on both synthetic and…

Visualisation d'images spectrales : une méthode basée sur la perception humaine

2011

We propose a new method for the visualization of spectral images. It involves a perception-based spectrum segmentation using an adaptable thresholding of the stretched CIE standard observer color-matching functions. This allows for an underlying removal of irrelevant channels, and, consequently, an alleviation of the computational burden of further processings. Principal Components Analysis is then used in each of the three segments to extract the Red, Green and Blue primaries for final visualization. A comparison framework using two different datasets shows the efficiency of the proposed method.

3D Scanning of specular and diffuse metallic surfaces using an infrared technique

2012

International audience; For the past two decades, the need for 3D Scanning of industrial objects has increased significantly. Therefore, many experimental techniques and commercial solutions have been proposed. However, difficulties remain for the acquisition of optically non-cooperative surfaces, such as transparent or specular surfaces. To address highly reflective metallic surfaces, we propose the extension of a technique that was originally dedicated to glass objects. In contrast to conventional active triangulation techniques that measure the reflection of visible radiation, we measure the thermal emission of a surface, which is locally heated by a laser source. Considering the thermop…

Complex Networks and Their Applications

2014

Mirror-based matching of catadioptric images

2009

International audience

Evaluation of skin spectral features for biometric

2017

International audience

The Bag of Words Approach for the Classification of Head and Neck Cancers Using Diffuse Reflectance Spectroscopy

2015

Diffuse Reflectance Spectroscopy (DRS) is a leading technique for the detection of head and neck cancers. It can capture information regarding tissue absorption and scattering. In this research work, we propose a novel method for the identification of normal and Squamous Cell Carcinoma (SCC) mucosa tissues using the Bag Of Words (BOW) approach. The study included 70 spectra from normal mucosa tissue sites and 70 spectra from SCC mucosa tissue sites. First, the spectra are preprocessed by extracting the useful wavelength range, denoising and reducing the inter and intra patient variability. Subsequently, features are extracted from each spectrum by continuously sliding a window with a predef…

(Omni-)Pola-Catadioptric Vision: Ideas and Experiments

2012

International audience