Xiaoting Zhang joins VCL as a postdoc with Professor Whiting.
Prof. Wojciech Jarosz, together with Romain Prévost (ETH Zurich/Disney Research Zurich), Alec Jacobson (ETH Zurich/Columbia University), and Olga Sorkin-Hornung (ETH Zurich) have developed a computationally-assisted spray painting system that allows novices to spray paint accurate reproductions of photographs as large murals. The research appears in April's issue of the journal Computers & Graphics.
The group wanted to create a way to allow untrained users to spray paint large graffiti murals. To accomplish this, they instrumented a physical spray paint can with an actuator to turn it on/off and QR codes to track its location. A nearby computer analyses the position of the spray can as well as the current painting on the wall/canvas, and automatically turns the spray on or off. In essence, the spray can "knows" what it wants to paint, and the user just has to wave it around, seeing the image appear in front of them.
For more technical details, including a preprint of the publication and a demonstration video, check out the project page on Prof. Jarosz's website.
Several news agencies are also reporting on the research:
- Wall Street Journal | Spray Cans That Know What to Paint
- Wall Street Journal Video | Scientists Develop Spray Cans That Know What to Paint
- Daily Mail | Move Over Banksy! Robotic Spray Can Helps Novices Reproduce Photos as Giant 'Paint by Numbers' Murals
- gizmag | Smart spray paint copies color photos onto walls
- TechRadar | This 'smart' spray can will instantly turn you into a pro graffiti artist
- NeuroScienceNews | Scientists Invent Robotic ‘Artist’ That Spray Paints Giant Murals
- Phys.org | Scientists invent robotic 'artist' that spray paints giant murals
Congratulations to Liane Makatura! She is among eight undergraduate students selected internationally to win the Adobe Research Women-in-Technology Scholarship.
Each recipient received a $10,000 award, an internship at Adobe, and a mentorship. Liane will work at Adobe's Creative Technologies Lab this Summer in Seattle.
Members of VCL attended the Symposium on Computational Fabrication, held at MIT this week. PhD student Athina Panotopoulou presented in the poster session, highlighting recent work on Perceptual Models of Preference in 3D Printing Direction.
Perceptual Models of Preference in 3D Printing Direction
Authors: Xiaoting Zhang, Xinyi Le, Athina Panotopoulou, Emily Whiting & Charlie C.L. Wang
Research from VCL's Prof. Whiting and PhD student Athina Panotopoulou was presented at SIGGRAPH Asia 2015 in Kobe, Japan. The work was in collaboration with researchers from the Chinese University of Hong Kong . The paper introduces a perceptual model for determining 3D printing orientations. Additive manufacturing methods involving low-cost 3D printers often require robust branching support structures to prevent material collapse at overhangs. Although the designed shape can successfully be made by adding supports, residual material remains at the contact points after the supports have been removed, resulting in unsightly surface artifacts. To prevent the visual impact of these artifacts, the paper presents a training-and-learning method to find printing directions that avoid placing supports in perceptually significant regions.
See the ACM Digital Library for the full publication.
The Daily Mail reports on a new analysis by Srivamshi Pittala, Emily Whiting and Hany Farid that confirms the authenticity of the famous backyard photo of Lee Harvey Oswald. See the whole article at the Daily Mail.
Research lead by VCL's Prof. Jarosz in collaboration with Disney Research was presented at Pacific Graphics 2015 last week, where it won the Best Paper Award. The paper describes a novel method for projecting color images using a white light source and an optical device with no colored components—consisting solely of one or two prisms and two masks printed on transparencies. In the future, the prototype technology could be refined to provide improved spectral color reproduction or increased light efficiency compared to current techniques.
Check out the project page for more details.
MS Digital Arts students, Runi Goswami and Tim Tregubov, presented their thesis work at SIGGRAPH 2015 in LA. Titled "FrameShift: Shift Your Attention, Shift the Story", the project introduces a novel framework for graphic storytelling. It uses reader attention, as measured by eye-gaze fixation, to introduce subtle narrative and graphic changes and in turn change readers’ belief states over time. The thesis was advised by Professor Lorie Loeb, and was presented as both a Studio Talk and demoed in the poster session at SIGGRAPH.
Multi-Scale Modeling and Rendering of Granular Materials
Are you interested in working at the intersection of computer science, arts and design?
Introducing a new MS Degree in CS with a concentration in Digital Arts Program at Dartmouth College!
Open to students from a wide variety of undergraduate majors in areas related to arts, design and technology, students in the new CS/DA program complete a mix of computer science courses, digital arts courses, and research/thesis. They experience a rigorous and focused computer science education, foundational courses in digital arts, and a deep dive into a research topic within the areas of visual computing and digital arts (e.g. computer graphics, HCI, digital fabrication, digital art and media, computer vision, VR and AR).
Application Deadline: April 15, 2015
Notifications of Acceptance: May 1, 2015
(Get the poster HERE)