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pro vyhledávání: '"Yepes, Juan D."'
This paper focuses on the educational journey of a computer engineering undergraduate student venturing into the domain of computer vision and robotics. It explores how optical flow and its applications can be used to detect moving objects when a cam
Externí odkaz:
http://arxiv.org/abs/2407.10044
Autor:
Yepes, Juan D., Raviv, Daniel
This paper explores visual motion-based invariants, resulting in a new instantaneous domain where: a) the stationary environment is perceived as unchanged, even as the 2D images undergo continuous changes due to camera motion, b) obstacles can be det
Externí odkaz:
http://arxiv.org/abs/2311.11130
Autor:
Yepes, Juan D., Raviv, Daniel
This paper focuses on visual motion-based invariants that result in a representation of 3D points in which the stationary environment remains invariant, ensuring shape constancy. This is achieved even as the images undergo constant change due to came
Externí odkaz:
http://arxiv.org/abs/2310.09632
This paper focuses on a novel approach for detecting moving objects during camera motion. We present an optical-flow-based transformation that yields a consistent 2D invariant image output regardless of time instants, range of points in 3D, and the s
Externí odkaz:
http://arxiv.org/abs/2310.09627
Autor:
Yepes, Juan D., Raviv, Daniel
Looming, traditionally defined as the relative expansion of objects in the observer's retina, is a fundamental visual cue for perception of threat and can be used to accomplish collision free navigation. The measurement of the looming cue is not only
Externí odkaz:
http://arxiv.org/abs/2202.10972