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Showing posts from July 15, 2018

Great Article: Matthew Merkovich Says To Stop With The Crazy Tracking Markers

Matthew Merkovich Says To Stop With The Crazy Tracking Markers Today I came across a great interview with Matthew Merkovich on LesterBanks dated 2 years ago. He's a very experienced CG artist. Having spent many years doing matchmove, he gave some of his insights into the quirkiness surrounding the craft and many misunderstood practices that may not be applicable given the capabilities and accuracy of the software tools available to us in the present day. One of the points he raised is relating to the practice of placing red/orange crosses for markers during location shooting simply because they are told it is the best way to do things. On top of this, in the interview he also has a list of matchmoving dos and don'ts, advice and tips! Matthew also has a series of videos showing many matchmove tutorials. Follow him on Vimeo ! Tracking Marker Guidelines from MattMerk on Vimeo . As an artist that has been doing matchmoving for no small number of years, I am gla...

Foundary Post: How Data Analysis is Improving Matchmoving

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Today I came across a post on Foundary's website about data analysis and matchmoving . Alastair Barber tries to improve and speed up the pipeline with data analysis and algorithms while working with DNEG . Matchmoving is something close to my heart. I started my Hollywood film career as a matchmove artist. I'm also quite interested in machine learning, data analysis and artificial intelligence. Thus this article grabbed my attention. It seems that DNEG is a great choice for data analysis, having accumulated 20 years of production data. The article does not have specific mention of how the result of the analysis is helping to speed up the process of matchmoving, but we know for sure that something is happening in the field of data and the VFX production process. Graph source:  https://www.foundry.com/trends/business/matchmoving-big-data However there is one concrete thing I find fascinating in the article. This graph in the article actually gives an overview ...