R.J. Bailey ( ) ·C.M. Grimm Department of Computer Science and Engineering, Washington University, St. Louis, USA {rjb1, cmg}@cse.wustl.edu Abstract We introduce a novel concept called perceptually meaningful image editing and present techniques for manipulating the apparent depth of objects and creating the illusion of motion in 2D images. Our techniques combine principles of human visual perc...

Motion estimation is one of the key techniques helping solve problems encountered in image sequence compression and processing, and in computer vision. Redundancy elimination in digital video and tracking of moving objects in surveillance applications are but two interesting tasks where the knowledge of image motion is essential. Due to a strong correlation of image properties in the direction ...

Accurate and robust image motion detection has been of substantial interest in the image processing and computer vision communities. Unfortunately, no single motion detection algorithm has been universally superior, yet biological vision systems are adept at motion detection. Recent research in neural signals have shown biological neural systems are highly responsive to signals which appear to ...

Two systems for detecting the motion of a scene are described. For both, an image is projected directly onto an integrated circuit that contains photosensors and computing circuitry to extract the motion. The first system, which has been reported earlier, correlates the analog image with a digitized version of the image stored from the previous cycle. The chip reports the motion that correspond...

In this study, a laser-based machine vision system is developed and implemented to monitor and control welding processes. The system consists of three main modules: a laser-based vision sensor module, an image processing module, and a multi-axis motion control module. The laserbased vision sensor is designed and fabricated based on the principle of laser triangulation. By developing and impleme...

Human vision, machine vision, and image coding, each demand representations that are useful and ee-cient. The best-established techniques today are based on low-level processing. Future systems for image analysis and image coding will increasingly use image representations that involve such concepts as surfaces , lighting, transparency, etc. These representations fall in the domain of \mid-leve...

abstractobjective: to investigate the impact of respiratory motion on localization, and quantification lung lesions for the gross tumour volume utilizing an in-house developed auto3dreg programme and dynamic nurbs-based cardiac-torso digitised phantom (ncat). methods: respiratory motion may result in more than 30% underestimation of the suv values of lung, liver and kidney tumour lesions. the m...

In this paper, we present a real-time computer vision approach to recognizing human movements based on patterns of motion. The underlying representation is a Motion History Image (MHI) which is characterized by multiple histograms of the local motion orientations. The approach is adapted to accommodate movements of diierent durations by using a simple iterative technique. Quantitative results a...

Motion detection can play an important role in many vision tasks. Yet image motion can arise from \uninteresting" events as well as interesting ones. In this paper, salient motion is de ned as motion that is likely to result from a typical surveillance target (e.g., a person or vehicle traveling with a sense of direction through a scene) as opposed to other distracting motions (e.g., the scinti...

ÐMotion detection can play an important role in many vision tasks. Yet image motion can arise from auninterestingo events as well as interesting ones. In this paper, salient motion is defined as motion that is likely to result from a typical surveillance target (e.g., a person or vehicle traveling with a sense of direction through a scene) as opposed to other distracting motions (e.g., the scin...