![]() ![]() He ends up as a pimped-out gangster robot, showing a bit of originality in character design that I was a massive fan of.Ĭhappie’s creation required a bit more animation elbow grease than some of the other characters on this list because Copley’s performance was used “strictly as a motion reference, with all animation done by hand,” according to Chris Harvey, the movie’s vfx supervisor. The titular Chappie is a police robot who undergoes reprogramming, allowing him to re-evaluate his position as a violent tool of the state. Usually describing a character as ‘robotic’ is a bit of a jab at the actor’s performance - not here. Chappie from Chappie (2015) - Portrayed by Sharlto Copley He manages to pull off an impressive, regal performance, one that reportedly gave him a new appreciation for motion capture actors, saying: “I think unless you’re a performer you don’t know what a performer contributes to motion capture.”Ĩ. Not only did Dafoe have to strap into the tight, uncomfortable mocap suit for John Carter, he had to learn some of his lines in an alien language and do it all whilst on 2-foot high stilts. ![]() Despite this, Tars Tarkas, the 9-foot tall martian warlord is a fantastic example of motion capture acting from Willem Dafoe. John Carter, a Disney movie based on the Barsoom series by Edgar Rice Burroughs, was a bit of a flop commercially. I’ll forgive you for not knowing this one. Tars Tarkas from John Carter (2012) - Portrayed by Willem Dafoe Source: ![]() Thanks to the outstanding motion capture performance, I saw his fear and his weakness in a more recognisable way.ĩ. We love Kong’s raw, primal rage, interspersed with the more sensitive, human moments around Ann.įor me, it was really the first time I was able to relate to the big fella. King Kong from King Kong (2005) - Portrayed by Andy SerkisĪs you might expect from a list on mocap characters, Serkis is going to pop up a few times. But do you know who was in the mocap suit behind your favourite CGI characters? Let’s run through the best motion capture characters to find out.ġ0. It’s a discipline set to go from strength to strength thanks to the relationship between motion capture actors and animators. Andy Serkis, arguably the face of mocap, has even co-founded The Imaginarium, a production company and digital performance-capture studio dedicated to the invention of believable, emotionally engaging digital characters using performance capture technology. Including challenging scenes with people of different sizes.Motion capture is already a vital tool in the repertoire of many filmmakers looking to represent creatures, robots, monsters and aliens. Qualitatively demonstrate that our method is robust to in-the-wild conditions Human pose benchmarks where we consistently outperform previous methods and we We evaluate our method on established multi-person 3D Space-time coherent optimization over the video to ensure temporal, spatial and Per-frame 3D estimates of the humans and scene point-cloud, we perform a Reconstruct a point-cloud of the static scene in 3D space. In particular, we estimate the sceneĭepth and person unique scale from normalized disparity predictions using theĢD body joints and joint angles. Shapes as well as the scale of the scene. Thus, we introduce theįirst non-linear optimization-based approach that jointly solves for theĪbsolute 3D position of each human, their articulated pose, their individual Normalized disparity maps, and human segmentation masks. Models for a variety of modalities, including 2D body joints, joint angles, Leverage recent advances in computer vision using large-scale pre-trained To deal with this challenging setting, we Users as it enables an affordable 3D motion capture that is easy to install andĭoes not require expert knowledge. Marker-based or multi-view systems, our lightweight setup is ideal for private Single RGB video recorded with a static camera. Multiple humans in a scene as well as their body shape and articulation from a Download a PDF of the paper titled Scene-Aware 3D Multi-Human Motion Capture from a Single Camera, by Diogo Luvizon and 4 other authors Download PDF Abstract: In this work, we consider the problem of estimating the 3D position of ![]()
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