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Welcome! I am Valeria, I have a PhD in Computer Science and I am specialized in Computer Vision and 3D Shape Analysis.
During the past years, working in research, I have conducted several research projects both under my own responsibility and as a team member for internal and international projects. As researcher, I had the opportunity to deal with all the stages of innovative products development: designing ideas, conducting literature review, implementing and testing code, and providing full technical documentation.

I am also interested in technical communication and information design.

I am actually looking for new opportunities in the industry where I can apply my technical and soft skills.

Please have a look at my LinkedIn profile, here you can find some information about what I have done during my academic career.

Some Past Research Activities:

Shape Analysis:


3D Shape Descriptors: research on 3D models compact representations that have particular properties (e.g. reliability, invariance to translation, rotation and scale, noise resistance … ) and that can be used to compare 3D shapes in a database measuring similarity.

 


Skeletonization Methods: algorithms to extract a shape feature that represents the general form of a 2D/3D object.

 
 

Computer Vision:


Mobile 3D Metric Reconstruction: development of an algorithm for fast metric reconstruction on mobile devices using a combination of image and inertial acceleration data.

 
 


Camera Pose Estimation: 3D positioning and orientation of an image taken in an outdoor environment using image-based retrieval techniques and Structure From Motion data.

 
 


Semantic Image Segmentation: semantic segmentation of an image via label transfer from an already labeled image set, taking advantage of sparse 3D structure to infer the category of superpixel in the novel image.
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