Andrea Colaco

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Imagers that use their own illumination can capture three-dimensional (3D) structure and reflectivity information. With photon-counting detectors, images can be acquired at extremely low photon fluxes. To suppress the Poisson noise inherent in low-flux operation, such imagers typically require hundreds of detected photons per pixel for accurate range and(More)
We present <i>Mime</i>, a compact, low-power 3D sensor for unencumbered free-form, single-handed gestural interaction with head-mounted displays (HMDs). Mime introduces a real-time signal processing framework that combines a novel three-pixel time-of-flight (TOF) module with a standard RGB camera. The TOF module achieves accurate 3D hand localization and(More)
Range acquisition systems such as light detection and ranging (LIDAR) and time-of-flight (TOF) cameras operate by measuring the time difference of arrival between a transmitted pulse and the scene reflection. We introduce the design of a range acquisition system for acquiring depth maps of piecewise-planar scenes with high spatial resolution using a single,(More)
Light detection and ranging (LIDAR) systems use time of flight (TOF) in combination with raster scanning of the scene to form depth maps, and TOF cameras instead make TOF measurements in parallel by using an array of sensors. Here we present a framework for depth map acquisition using neither raster scanning by the illumination source nor an array of(More)
Active range acquisition systems such as light detection and ranging (LIDAR) and time-of-flight (TOF) cameras achieve high depth resolution but suffer from poor spatial resolution. In this paper we introduce a new range acquisition architecture that does not rely on scene raster scanning as in LIDAR or on a two-dimensional array of sensors as used in TOF(More)
We present a new method for simultaneously denoising and unwrapping phase in multi-frequency homodyne time-of-flight ranging for the formation of accurate depth maps despite low SNR of raw measurements. This is achieved with a new generalized approximate message passing (GAMP) algorithm for minimum mean-squared error estimation of the phase. A detailed,(More)
In this paper, we propose a novel concept for a social TV application targeting the demographic of viewers enjoying live sports events, such as road bicycle racing. We intend to enhance the viewing experiences of spectators with sensor-fitted bikes tied to an interactive biking environment on television. The system enables a new form of personalized,(More)
Touchscreen interfaces for small display devices have several limitations: the act of touching the screen occludes the display, interface elements like keyboards consume precious display real estate, and even simple tasks like document navigation - which the user performs effortlessly using a mouse and keyboard - require repeated actions like pinch-and-zoom(More)
In conventional 3D imaging, a large number of detected photons is required at each pixel to mitigate the effect of signal-dependent Poisson or shot noise. Parametric Poisson process imaging (PPPI) is a new framework that enables scene depth acquisition with very few detected photons despite significant contribution from background light. Our proposed(More)
We introduce an active optical sensor, 3dim, for capturing three-dimensional (3D) scene structure. 3dim is an active time-of-flight (TOF) technique, which is based on parametric modeling and processing of scene impulse responses. As opposed to estimating one depth value per pixel in a conventional TOF sensor, 3dim operates by estimating multiple object(More)