Francisco Heredia

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This paper presents a system architecture for reconstructing photorealistic and accurate 3D models of indoor environments. The system specifically targets large-scale and arbitrary-shaped environments and enables processing of data obtained with an arbitrary-chosen capturing path. The system extends the baseline Kinect Fusion algorithm with a buffering(More)
The Augmented L agrangean Relaxation (ALR) method is one of the most powerful techniques to solve the Short-Term Hydrothermal Coordination (STHC) problem. A crucial step when using the ALR method is the updating of the multipliers. In this paper we present a new multiplier updating procedure: the Gradient with Radar Step (GRS) method. The method has been(More)
Solanum lycopersicum L. (tomato) is a very important fruit vegetable with high economic importance and nutritional impact on the consumers worldwide. Moreover, tomato fruits are an important source of nutraceutical compounds. This work describes the physiological diversity affecting the ripening process that yields variation in fruit pigmentation with(More)
I'm a first year PhD student in EECS working with Pieter Abbeel and Ken Goldberg. My research interests lie in using vision to model the dynamics of the environment, including a robot's own motions. As far as parallel computers go, I'm interested in speeding robotic perception and planning up though parallelization across multiple cores or even leveraging(More)
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