Look, Ma! I’m designing in 3D with no mouse! Check out this paper, which proposes a new means of working in 3D by using tracking software to permit the user to make simple hand gestures to manipulate the design element.
Authors: Vinayak, Sundar Murugappan, HaiRong Liu, Karthik Ramani,
Shape-It-Up: Hand Gesture Based Creative Expression of 3D Shapes Using Intelligent Generalized Cylinders
We present a novel interaction system, “Shape-It-Up”, for creative expression of 3D shapes through the naturalistic integration of human hand gestures with a modeling scheme dubbed intelligent generalized cylinders (IGC). To achieve this naturalistic integration, we propose a novel paradigm of shape-gesture-context interplay (SGCI) wherein the interpretation of gestures in the spatial context of a 3D shape directly deduces the designers’ intent and the subsequent modeling operations. Our key contributions towards SGCI are three-fold. Firstly, we introduce a novel representation (IGC) of generalized cylinders as a function of the spatial hand gestures (postures and motion) during the creation process. This representation allows for fast creation of shapes while retaining their aesthetic features like symmetry and smoothness. Secondly, we define the spatial contexts of IGCs as proximity functions of their representational components, namely cross-sections and skeleton with respect to the hands. Finally, we define a natural association of modification and manipulation of the IGCs by combining the hand gestures with the spatial context. Using SGCI, we implement intuitive hand-driven shape modifications through skeletal bending, sectional deformation and sectional scaling schemes. The implemented prototype involves human skeletal tracking and hand-posture classification using the depth data provided by a low-cost depth sensing camera (Microsoft Kinect). With Shape-It-Up, our goal is to make the designer an integral part of the shape modeling process during early design, in contrast to current CAD tools which segregate 3D sweep geometries into procedural 2D inputs in a non-intuitive and cumbersome process requiring extensive training. We conclusively demonstrate the modeling of a wide variety of 3D shapes within a few seconds….
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